Literature DB >> 7931520

Neural ensemble coding in inferior temporal cortex.

P M Gochin1, M Colombo, G A Dorfman, G L Gerstein, C G Gross.   

Abstract

1. Isolated, single-neuron extracellular potentials were recorded sequentially in area TE of the inferior temporal cortex (IT) of two macaque monkeys (n = 58 and n = 41 neurons). Data were obtained while the animals were performing a paired-associate task. The task utilized five stimuli and eight stimulus pairings (4 correct and 4 incorrect). Data were evaluated as average spike rate during experimental epochs of 100 or 400 ms. Single-unit and population characteristics were measured using a form of linear discriminant analysis and information theoretic measures. To evaluate the significance of covariance on population code measures, additional data consisting of simultaneous recordings from < or = 8 isolated neurons (n = 37) were obtained from a third macaque monkey that was passively viewing visual stimuli. 2. On average, 43% of IT neurons were activated by any of the stimuli used (60% if those inhibited also are included). Yet the neurons were rather unique in the relative magnitude of their responses to each stimulus in the test set. These results suggest that information may be represented in IT by the pattern of activity across neurons and that the representation is not sparsely coded. It is further suggested that the representation scheme may have similarities to DNA or computer codes wherein a coding element is not a local parametric descriptor. This is a departure from the V1 representation, which appears to be both local and parametric. It is also different from theories of IT representation that suggest a constructive basis set or "alphabet". From this view, determination of stimulus discrimination capacity in IT should be evaluated by measures of population activity patterns. 3. Evaluation of small groups of simultaneously recorded neurons obtained during a fixation task suggests that little information about visual stimuli is conveyed by covariance of activity in IT when a 100-ms time scale is used as in this study. This finding is consistent with a prior report, by Gochin et al., which used a 1-ms time scale and failed to find neural activity coherence or oscillations dependent on stimuli. 4. Population-stimulus-discrimination capacity measures were influenced by the number of neurons and to some extent the number and type of stimuli. 5. Information conveyed by individual neurons (mutual information) averaged 0.26 bits. The distribution of information values was unimodal and is therefore more consistent with a distributed than a local coding scheme.(ABSTRACT TRUNCATED AT 400 WORDS)

Mesh:

Year:  1994        PMID: 7931520     DOI: 10.1152/jn.1994.71.6.2325

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  42 in total

1.  Responses of macaque perirhinal neurons during and after visual stimulus association learning.

Authors:  C A Erickson; R Desimone
Journal:  J Neurosci       Date:  1999-12-01       Impact factor: 6.167

2.  Studies of the functional characteristics of central neurons of the brain in a behavioral experiment.

Authors:  B F Tolkunov; A A Orlov; S V Afanas'ev
Journal:  Neurosci Behav Physiol       Date:  1999 Nov-Dec

3.  Encoding of tactile stimulus location by somatosensory thalamocortical ensembles.

Authors:  A A Ghazanfar; C R Stambaugh; M A Nicolelis
Journal:  J Neurosci       Date:  2000-05-15       Impact factor: 6.167

4.  Periodicity and firing rate as candidate neural codes for the frequency of vibrotactile stimuli.

Authors:  E Salinas; A Hernandez; A Zainos; R Romo
Journal:  J Neurosci       Date:  2000-07-15       Impact factor: 6.167

5.  Analysis of the linked spike activity of pairs of neurons in cortical microstructures.

Authors:  A V Bogdanov; A G Galashina
Journal:  Neurosci Behav Physiol       Date:  2001 Sep-Oct

6.  Neuronal representations of stimulus associations develop in the temporal lobe during learning.

Authors:  A Messinger; L R Squire; S M Zola; T D Albright
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-25       Impact factor: 11.205

7.  Neural activity in prefrontal cortex during copying geometrical shapes. II. Decoding shape segments from neural ensembles.

Authors:  Bruno B Averbeck; David A Crowe; Matthew V Chafee; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2003-04-01       Impact factor: 1.972

8.  Coding of efferent signals in monkey neostriatum.

Authors:  B F Tolkunov; S V Afanas'ev; A A Orlov; E V Filatova
Journal:  Dokl Biol Sci       Date:  2002 Nov-Dec

9.  Sequential rearrangements of the ensemble activity of putamen neurons in the monkey brain as a correlate of continuous behavior.

Authors:  S V Afanas'ev; B F Tolkunov; N B Rogatskaya; A A Orlov; E V Filatova
Journal:  Neurosci Behav Physiol       Date:  2004-03

10.  Correlations between neuron activity in the sensorimotor cortex of the right and left hemispheres in rabbits during a defensive dominant and "animal hypnosis".

Authors:  A V Bogdanov; A G Galashina; N N Karamysheva
Journal:  Neurosci Behav Physiol       Date:  2010-07-17
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