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Understanding Time Perception: Dedicated Models vs. Intrinsic Models - Prof. Castellà, Apuntes de Psicología

The two major frameworks for understanding time perception: dedicated models and intrinsic models. Dedicated models propose the existence of specialized mechanisms for representing temporal relationships between events, while intrinsic models suggest that duration could be encoded as spatial patterns of activity in a neural network or as the magnitude of neural activity. The authors discuss the implications and challenges of both approaches, as well as recent developments in time perception research.

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Dedicated and intrinsic models of time
perception
Richard B. Ivry
1,2
and John E. Schlerf
2
1
Department of Psychology, University of California, Berkeley, CA 94720, USA
2
Helen Wills Neuroscience Institute, University of California, Berkeley, CA 94720, USA
Two general frameworks have been articulated to
describe how the passage of time is perceived. One
emphasizes that the judgment of the duration of a
stimulus depends on the operation of dedicated neural
mechanisms specialized for representing the temporal
relationships between events. Alternatively, the repres-
entation of duration could be ubiquitous, arising from
the intrinsic dynamics of nondedicated neural mechan-
isms. In such models, duration might be encoded
directly through the amount of activation of sensory
processes or as spatial patterns of activity in a network
of neurons. Although intrinsic models are neurally plaus-
ible, we highlight several issues that must be addressed
before we dispense with models of duration perception
that are based on dedicated processes.
Perceiving the passage of time
Cognition is dynamic, with our perceptions, actions and
comprehension of the world unfolding over time. A gener-
ation ago, research on timing was limited, emphasizing the
study of behaviors marked by temporal regularities [1].
More recently, a renaissance has taken hold in the study of
time perception, with researchers addressing a broad
range of temporal phenomena. Behavioral studies have
revealed a host of puzzling effects in which our perception
of time is far from veridical [2]. Neuroscientists have
described how activity in single neurons varies with time
and how this might relate to psychophysical judgments [3–
5]. Theorists have asked how the dynamics of neural net-
works might encode temporal patterns in a reliable man-
ner [6–11].
As has long been noted by philosophers and psycholo-
gists, we lack a sensory system devoted to the sense of time.
Nonetheless, many percepts, and our actions in response to
these percepts, are acutely dependent on the precise
representation of time. Of course the terms ‘time’ and
‘temporal processing’ encompass a broad range of phenom-
ena, including simultaneity, temporal order and the per-
ception of duration. In this review we focus on the last of
these, addressing how the nervous system encodes infor-
mation concerning the duration of events in the range of
hundreds of milliseconds, the units of time that are especi-
ally relevant for immediate perception and the actions we
produce in relation to these events. In particular we focus
on a fundamental question that has defined much of the
recent discussion: is our perception of the passage of
time the consequence of dedicated, clock-like neural
mechanisms? Or is duration coded in an accessible manner
as an intrinsic and ubiquitous property of neural activity?
Dedicated models of temporal processing
Dedicated models of time perception are, at their core,
modular. As vision scientists speak of dedicated mechan-
isms for color or motion perception, modular models of time
perception entail some sort of specialized mechanism that
represents the temporal relationship between events. The
pacemaker-counter model is one example of a modular
system [12]. These two components define a clock with
an interval specified by the accumulation of inputs from a
pacemaker. Spectral models of timing constitute a second
example of a modular process. The phasic interactions of a
bank of oscillators [8,13] or the exploitation of differential
activity patterns in a set of delay lines [14,15] can define
different intervals. In dedicated models these representa-
tions are viewed as specializations, unique to particular
neural structures, that provide a functional chronotopy
that is recruited across diverse task domains.
One motivation for dedicated models comes from the
observation that our sense of the passage of time appears to
transcend the sensory modality of a stimulus. We can
compare the duration of a tone to a light (although not
as well as we assume [16–18]) or metrically reproduce the
duration of a visual stimulus with a keypress. Such inter-
actions are less apparent in other perceptual domains; for
example, only rare individuals describe the color of a tone.
The facile manner with which we compare time across
different modalities suggests some sort of internal clock.
Behavioral data provide additional motivation. Individ-
ual differences in temporal acuity correlate between per-
ception and action [19]. Measures of variability or
dispersion are proportional to mean duration, and when
the tasks are appropriately matched this ratio is similar for
perception and action [20]. Based on the assumption that
this property arises from signal-dependent noise in a
common system, these results point towards a dedicated
system for timing.
A neural instantiation of a dedicated model is the
cerebellar timing hypothesis [21]. Patients with cerebellar
pathology are impaired on a range of tasks that require
precise timing, including perceptual tasks such as judging
the duration of brief tones [22,23] or categorizing speech
sounds that vary in the duration of a silent period [24]. The
timing hypothesis also provides a principled basis for
specifying the cerebellar contribution to sensorimotor
learning: this structure would be essential when learning
Review
Corresponding author: Ivry, R.B. ([email protected]).
1364-6613/$ see front matter ß2008 Elsevier Ltd. All rights reserved. doi:10.1016/j.tics.2008.04.002 Available online 6 June 2008 273
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Dedicated and intrinsic models of time

perception

Richard B. Ivry

and John E. Schlerf

1 Department of Psychology, University of California, Berkeley, CA 94720, USA

2 Helen Wills Neuroscience Institute, University of California, Berkeley, CA 94720, USA

Two general frameworks have been articulated to

describe how the passage of time is perceived. One

emphasizes that the judgment of the duration of a

stimulus depends on the operation of dedicated neural

mechanisms specialized for representing the temporal

relationships between events. Alternatively, the repres-

entation of duration could be ubiquitous, arising from

the intrinsic dynamics of nondedicated neural mechan-

isms. In such models, duration might be encoded

directly through the amount of activation of sensory

processes or as spatial patterns of activity in a network

of neurons. Although intrinsic models are neurally plaus-

ible, we highlight several issues that must be addressed

before we dispense with models of duration perception

that are based on dedicated processes.

Perceiving the passage of time

Cognition is dynamic, with our perceptions, actions and

comprehension of the world unfolding over time. A gener-

ation ago, research on timing was limited, emphasizing the

study of behaviors marked by temporal regularities [1].

More recently, a renaissance has taken hold in the study of

time perception, with researchers addressing a broad

range of temporal phenomena. Behavioral studies have

revealed a host of puzzling effects in which our perception

of time is far from veridical [2]. Neuroscientists have

described how activity in single neurons varies with time

and how this might relate to psychophysical judgments [3–

5]. Theorists have asked how the dynamics of neural net-

works might encode temporal patterns in a reliable man-

ner [6–11].

As has long been noted by philosophers and psycholo-

gists, we lack a sensory system devoted to the sense of time.

Nonetheless, many percepts, and our actions in response to

these percepts, are acutely dependent on the precise

representation of time. Of course the terms ‘time’ and

‘temporal processing’ encompass a broad range of phenom-

ena, including simultaneity, temporal order and the per-

ception of duration. In this review we focus on the last of

these, addressing how the nervous system encodes infor-

mation concerning the duration of events in the range of

hundreds of milliseconds, the units of time that are especi-

ally relevant for immediate perception and the actions we

produce in relation to these events. In particular we focus

on a fundamental question that has defined much of the

recent discussion: is our perception of the passage of

time the consequence of dedicated, clock-like neural

mechanisms? Or is duration coded in an accessible manner

as an intrinsic and ubiquitous property of neural activity?

Dedicated models of temporal processing

Dedicated models of time perception are, at their core,

modular. As vision scientists speak of dedicated mechan-

isms for color or motion perception, modular models of time

perception entail some sort of specialized mechanism that

represents the temporal relationship between events. The

pacemaker-counter model is one example of a modular

system [12]. These two components define a clock with

an interval specified by the accumulation of inputs from a

pacemaker. Spectral models of timing constitute a second

example of a modular process. The phasic interactions of a

bank of oscillators [8,13] or the exploitation of differential

activity patterns in a set of delay lines [14,15] can define

different intervals. In dedicated models these representa-

tions are viewed as specializations, unique to particular

neural structures, that provide a functional chronotopy

that is recruited across diverse task domains.

One motivation for dedicated models comes from the

observation that our sense of the passage of time appears to

transcend the sensory modality of a stimulus. We can

compare the duration of a tone to a light (although not

as well as we assume [16–18]) or metrically reproduce the

duration of a visual stimulus with a keypress. Such inter-

actions are less apparent in other perceptual domains; for

example, only rare individuals describe the color of a tone.

The facile manner with which we compare time across

different modalities suggests some sort of internal clock.

Behavioral data provide additional motivation. Individ-

ual differences in temporal acuity correlate between per-

ception and action [19]. Measures of variability or

dispersion are proportional to mean duration, and when

the tasks are appropriately matched this ratio is similar for

perception and action [20]. Based on the assumption that

this property arises from signal-dependent noise in a

common system, these results point towards a dedicated

system for timing.

A neural instantiation of a dedicated model is the

cerebellar timing hypothesis [21]. Patients with cerebellar

pathology are impaired on a range of tasks that require

precise timing, including perceptual tasks such as judging

the duration of brief tones [22,23] or categorizing speech

sounds that vary in the duration of a silent period [24]. The

timing hypothesis also provides a principled basis for

specifying the cerebellar contribution to sensorimotor

learning: this structure would be essential when learning

Review

Corresponding author: Ivry, R.B. ([email protected]).

1364-6613/$ – see front matter ß 2008 Elsevier Ltd. All rights reserved. doi:10.1016/j.tics.2008.04.002 Available online 6 June 2008 (^273)

requires the representation of the temporal relationship

between events, as in eyeblink conditioning. Consistent

with a modular perspective, the cerebellar timing hypoth-

esis is based on the assumption that the cerebellum has a

unique representational capability and is accessed when-

ever a particular task requires precise timing.

Similar arguments have been developed for other

neural regions that might serve as dedicated timing sys-

tems [25]. These include the basal ganglia [26,27], supple-

mentary motor area [28,29] and prefrontal cortex,

especially in the right hemisphere [30,31]. For the most

part, converging evidence has been offered in support of all

of these candidate regions. Patients with lesions encom-

passing a particular region might be impaired in judging

the duration of an auditory stimulus yet show no problems

in judging other acoustic features [30]. Correspondingly,

an area might be activated in an imaging study when the

task requires attending to the duration of the stimulus in

comparison to a nontemporal attribute [28]. These dis-

sociations, whether from lesions, pharmacological manip-

ulations or neuroimaging, favor dedicated mechanisms for

temporal processing (Figure 1a).

Although dissociations across task domains have been

obtained readily, considerable debate continues on the

question of whether temporal-processing deficits are

uniquely associated with damage to a particular neural

structure. For example, patients with cerebellar degener-

ation, Parkinson’s disease or prefrontal lesions all show a

similar perceptual dissociation between duration and pitch

[32]. The neuroimaging literature presents a similarly

murky picture [32]. Not only have highly divergent pat-

terns of activation been observed across studies but also

substantive task differences amplify the problem [32,33].

Given the required investment, replication studies are rare

in the imaging literature.

Other dedicated models avoid localization issues by

postulating that the representation of time results from

activity across a network of regions [34,35] (Figure 1b).

Within such models the operation of some areas could be

specific to timing (e.g. pacemaker function), whereas other

Figure 1. Neural models for temporal representation. The top two panels depict two dedicated models. (a) A neural structure might be specialized to represent temporal information. The example shows the cerebellum as a dedicated system, although some models postulate a specialized role for the basal ganglia, supplementary motor area or right prefrontal cortex. (b) A dedicated system could involve activity across a distributed network of neural regions. The bottom two panels depict two models for modality-specific intrinsic timing. (c) In a state-dependent network, temporal patterns are represented as spatial patterns of activity across a neural network. (d) In an energy readout model, elapsed time corresponds to the amount of neural activity.

events that capture attention produce an increase in

neural activity [41,42] and, as would be predicted by an

energy readout model, are perceived as longer in duration

[43–45]. As with a state-dependent network [7] the percep-

tion of time is not attributed to mechanisms specialized for

temporal processing but, rather, is based on generic and

modality-specific features of neural activity.

Evaluating the evidence for modality specificity in

intrinsic timing

Some of the most compelling evidence for intrinsic timing

comes from physiological studies that emphasize local

representations that are, at least implicitly, modality

specific. In one study neurons in the lateral inferior par-

ietal region LIP were recorded during a visual duration

discrimination task [5]. Two lights, the first of a fixed

duration (e.g. 316 ms) and the second a variable duration,

were presented at fixation. The animal judged the relative

duration of the second by making a saccade to one of two

peripheral targets. Strikingly, perceptual judgments were

well predicted by the activity of individual neurons. When

the target for ‘shorter’ judgments fell within the neuron’s

response field, it would exhibit high firing rates at the

onset of the second light. If the stimulus persisted, this

response dropped off. When the target for ‘longer’ judg-

ments fell within the response field of the neuron, the

firing rate increased over time, eventually surpassing that

of neurons with response fields tuned to the ‘shorter’

target.

This parallel between behavior and single-unit activity

has been seen with other visual attributes. For example,

psychophysical performance on motion perception tasks

can be predicted from the activity of neurons in area MT

(middle temporal, also known as area V5) [46,47]. By

analogy, Shadlen and colleagues suggest that LIP neurons

code the time of behaviorally relevant visual events. How-

ever, the authors acknowledge that activity in these eye-

movement-related neurons might be driven by an

upstream (dedicated) system for temporal processing [4].

A recent transcranial magnetic stimulation (TMS)

study provides converging evidence in favor of modality-

specific timing [48]. When judging the duration of a visual

display, an increase in the difference threshold was

observed on trials in which repetitive TMS was applied

over V5/MT. Consistent with a modality-specific assump-

tion, no change in performance was found when subjects

judged the duration of a tone. Similarly, modality speci-

ficity was observed in an fMRI study when people were

asked to tap a simple rhythm, initially specified by either a

visual or auditory metronome [49]. In the visual condition

only, activity remained high in area V5/MT after the

metronome was terminated. One might suppose that, in

terms of a state-dependent network, a persistent modality-

specific pattern continues to provide a reference to time

each response even in the absence of further sensory

stimulation.

A further challenge to dedicated models comes from

studies showing modality-specific distortions of perceived

time. Morrone and colleagues reported a dramatic illusion

in which time is compressed [50]. Just before the onset of a

saccade to a peripheral target, a pair of bars was flashed

with an onset asynchrony of 100 ms. Participants com-

pared the duration of this interval to a variable one that

was presented a few seconds later. Under these conditions,

participants reported the stimuli to be of similar duration

when the variable interval was around 50 ms long. This

temporal compression was not seen if the initial interval

was presented well before the saccade nor was it evident if

auditory clicks were used to define the pre- and postsacca-

dic intervals. In subsequent work, similar compressive

effects were spatially specific for intervals of a half-second

[38].

Although evidence of modality and task specificity pro-

vides strong support for intrinsic timing, several crucial

issues must be addressed as these models mature. For

example, why would individual differences in producing

consistent rhythms be selectively correlated with acuity in

judging the duration (as opposed to the pitch) of a tone if

these tasks engage distinct mechanisms? One might sup-

pose that there are individual differences in noise proper-

ties associated with the time constants of neural activity.

However, this would not account for the deficits observed

after relatively focal brain lesions on a range of tasks that

require precise timing [21]. Dedicated models offer a

parsimonious way to computationally link disparate

tasks.

Intrinsic models in their current form have difficulty

accounting for crossmodal transfer. It is unclear how train-

ing on an auditory duration discrimination task would

facilitate performance for judging the duration of a visual

stimulus. Surprisingly, the empirical record on temporal

transfer is rather thin. Humans [51] and rats [52] both

show transfer between timing of visual and auditory sig-

nals. However, this work involves intervals of many sec-

onds. Only a few studies have looked at transfer in the

subsecond range, and these have not provided ideal tests

for assessing intrinsic models. Meegan et al. [53] reported

that, after extended training in judging the duration of a

300 ms tone, people were more consistent in producing a

300 ms interval compared with a 500 ms interval: an inter-

val-specific transfer effect. Notably, participants were pre-

vented from hearing sounds generated by their movements

during production; thus, one cannot argue that they were

reproducing sounds matched to their training. An intrin-

sic-based account of this form of transfer probably would

require postulating that the movements were guided by an

auditory temporal model. The auditory modality might

have some special status compared to other senses with

respect to the encoding of temporal information [54]; none-

theless, arguments of this sort are problematic for current

versions of intrinsic models.

Moreover, intrinsic models that emphasize temporal

encoding in early sensory areas could not fully account

for transfer within a modality. Westheimer [18] gave

participants extended training on a visual duration dis-

crimination task, using a standard interval of 500 ms.

During training the stimulus was always presented in

the left visual field and acuity improved by 60%. Perfect

transfer was observed when the stimulus was presented in

the right visual field. It is hard to reconcile this finding with

the notion that activity in retinotopically organized areas

provides the representation for temporal judgments.

The role of nontemporal factors on perceived duration

Performance on time-perception tasks entails several com-

ponent processes, many of which are not specific to time.

These include attention, working memory and long-term or

reference memory [55]. To date few studies of intrinsic

timing have asked which of these processes are affected by

training. Perceptual studies of generalization have

reported that benefits are interval specific [56,57], similar

to the results observed by Meegen et al. [53]. Although this

would rule out training effects related to processes of

attention or working memory, it cannot be assumed that

training has strengthened interval-specific timing

elements or specific patterns in state-dependent networks.

Consider a model in which there are patterns (or clock-like

units) that correspond to 80 ms, 100 ms, 120 ms and so on.

When given repeated training over this range, one might

suppose that the strength of these patterns is enhanced.

Alternatively, decision processes might become more reli-

ant on neurons that recently provided relevant infor-

mation, although the actual patterns remain unchanged.

With either mechanism, improvement would be limited to

the trained interval.

More generally, some of the behavioral effects attribu-

ted to intrinsic mechanisms probably are related to pro-

cesses not directly involved in representing temporal

information (see Box 2). As noted above, activity in LIP

neurons that is predictive of psychophysical performance

might reflect intrinsic dynamics that measure time or

reflect fluctuations in decision and/or response preparation

processes [4,58], with the perceptual analysis of duration

occurring upstream. A transfer test would provide an

important tool here. Suppose after extended training the

monkey was presented with identical stimuli but now

required to respond by using his fingers to press keys to

indicate stimulus duration, rather than respond with an

eye movement. If timing and the benefits of training were

restricted to activity in LIP neurons, little transfer would

be expected because LIP is involved mainly in preparing

the saccades. Although not tested, this seems highly unli-

kely. We assume that humans would show immediate

transfer.

The nature of decision processes is also important for

understanding how judgments of perceived duration might

be influenced by task-irrelevant information. A 100 ms

interval is more likely to be judged as ‘long’ when it is

preceded by a long foreperiod compared to when it is pre-

ceded by a short foreperiod [59]. It is likely that the duration

of the foreperiod is implicitly coded, providing a form of a

congruency effect or introducing a response bias. Such

biasing effects also can come from nontemporal information

given congruencies that exist between axes of seemingly

orthogonal dimensions (Figure 2a). Although ‘small’ and

‘large’ typically refer to space, these concepts map onto

‘short’ and ‘long’, respectively, in the temporal domain. This

congruency can introduce biases that masquerade as dis-

tortions of time [60]. For example, when presented with a

visual stimulus composed of an array of dots, people are

more likely to report the duration as ‘long’ when the array

contains more dots, larger dots or brighter dots. Even more

abstract, for two stimuli of the same duration, the digit ‘7’ is

perceived as longer than the digit ‘1’.

At the earlier side of the processing stream, some

temporal distortions are probable due to sensory or atten-

tional effects in registering the onset or offset of a stimulus

(Figure 2b). The observation that visual stimuli are per-

ceived as shorter than auditory stimuli [61,62] might result

from differences in the temporal resolution of the auditory

and visual pathways. Similarly, attention and expectan-

cies might influence the response to the onset and offset of

a stimulus. Attended objects might reach a recognition

threshold faster than unattended objects [44,63,64], which

would result in an increase in perceived duration [44]. In

contrast to the extended percept of attended objects,

expected events might be perceived as shorter than unex-

pected objects because their hold on attention is reduced,

leading to premature termination of stimulus processing.

A variant of these access effects also might account for

the temporal compression illusion described above [50].

Compression occurs when a saccade target appears just

before the first flash marking the start of the 100 ms

interval. The abrupt onset of the saccade target might

capture visual attention, delaying the recognition of the

initial flash and, thus, result in a temporally shortened

percept. Even when such masking-like effects are elimi-

nated, compressive effects could be due, at least in part, to

attentional effects. The spatial specificity observed in Burr

et al. [38] occurs under conditions in which attention is

biased away from the location of the standard stimulus (i.e.

inhibition of return [65]). This would delay the recognition

of this stimulus relative to other locations, resulting in an

illusory compression of time.

Future directions

Following a modular paradigm, neuropsychological

research generally has promoted models in which time

is represented by dedicated neural systems. An appealing

Box 2. Outstanding questions

 Does training people on time-perception tasks in one modality transfer to other modalities? Are transfer benefits specific to judgments of time or do they reflect reductions in other sources of variability, such as those related to sensory detection or decision processes? Transfer designs also would be ideal for neurophy- siological studies of time perception. For example, are the ramping functions evident in neural activity related to encoding the passage of time or preparation of specific responses? Could intermodal transfer be related to crossmodal projections between primary sensory areas [73], or would it depend on activity in association regions of cortex?  In studies of patients with neurological disorders, deficits in temporal representation generally are manifest as increases in variability. By contrast, recent psychophysical studies have focused on manipulations that distort perceived duration, in other words, a change in the mean. How do changes in mean occur in intrinsic models of temporal processing, and what are the consequences of these changes on measures of variability? More generally, are temporal distortions the result of changes in the mechanisms used to represent temporal information, or do they reflect the influence of nontemporal processes on performance (see Figure 2)?  What kinds of neural mechanisms can extend the temporal range for intrinsic models, or will these models be limited to the perception of very short intervals, similar to that proposed by Karmarkar and Buonomano [7]?

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