Literature DB >> 8410164

Information encoding and the responses of single neurons in the primate temporal visual cortex.

M J Tovée1, E T Rolls, A Treves, R P Bellis.   

Abstract

1. The possibility of temporal encoding in the spike trains of single neurons recorded in the temporal lobe visual cortical areas of rhesus macaques was analyzed with the use of principal component and information theory analyses of smoothed spike trains. The neurons analyzed had responses selective for faces. 2. Provided that a correction was applied to earlier methods of principal component analysis used for neuronal spike trains, it was shown that the first principal component provides by a great extent the most information, with the second and third adding only small proportions (on average 18.8 and 8.4%, respectively). 3. It was shown that the magnitude of the second and higher principal components is even smaller if the spike train analysis is started after the onset of the neuronal response, instead of before the neuronal response has started. This suggests that variations in response latency are at least a part of what is reflected by the second and higher principal components. 4. The first principal component was correlated with the mean firing rate of the neurons. The second and higher principal components reflected at least partly the onset properties of the neuronal responses, such as response latency differences between the stimuli. 5. A considerable proportion of the information available from principal components 1-3 is available in the firing rate of the neuron. 6. Periods of the firing rate of as little as 50 or even 20 ms are sufficient to give a reasonable estimate of the firing rate of the neuron. 7. Information theory analysis showed that in short epochs (e.g., 50 ms) the information available from the firing rate can be as high, on average, as 84.4% of that available from the firing rate calculated over 400 ms, and 52.0% of that available from principal components 1-3 in the 400-ms period. It was also found that 44.0% of the information calculated from the first three principal components is available in the firing rates calculated over epochs as short as 20 ms. 8. More information was available near the start of the neuronal response, and the information available from short epochs became less later in the neuronal response. 9. Taken together, these analyses provide evidence that a short period of firing taken close to the start of the neuronal response provides a reasonable proportion of the total information that would be available if a long period of neuronal firing (e.g., 400 ms) were utilized to extract it, even if temporal encoding were used.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1993        PMID: 8410164     DOI: 10.1152/jn.1993.70.2.640

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


  55 in total

Review 1.  The labile brain. III. Transients and spatio-temporal receptive fields.

Authors:  K J Friston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-02-29       Impact factor: 6.237

2.  Correlations and the encoding of information in the nervous system.

Authors:  S Panzeri; S R Schultz; A Treves; E T Rolls
Journal:  Proc Biol Sci       Date:  1999-05-22       Impact factor: 5.349

3.  Backpropagation of physiological spike trains in neocortical pyramidal neurons: implications for temporal coding in dendrites.

Authors:  S R Williams; G J Stuart
Journal:  J Neurosci       Date:  2000-11-15       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.  Natural stimulation of the nonclassical receptive field increases information transmission efficiency in V1.

Authors:  William E Vinje; Jack L Gallant
Journal:  J Neurosci       Date:  2002-04-01       Impact factor: 6.167

6.  Information conveyed by onset transients in responses of striate cortical neurons.

Authors:  J R Müller; A B Metha; J Krauskopf; P Lennie
Journal:  J Neurosci       Date:  2001-09-01       Impact factor: 6.167

7.  Consistency of encoding in monkey visual cortex.

Authors:  M C Wiener; M W Oram; Z Liu; B J Richmond
Journal:  J Neurosci       Date:  2001-10-15       Impact factor: 6.167

8.  Forward processing of long-term associative memory in monkey inferotemporal cortex.

Authors:  Yuji Naya; Masatoshi Yoshida; Yasushi Miyashita
Journal:  J Neurosci       Date:  2003-04-01       Impact factor: 6.167

9.  Visual responses of crayfish ocular motoneurons: an information theoretical analysis.

Authors:  C S Miller; D H Johnson; J P Schroeter; L Myint; R M Glantz
Journal:  J Comput Neurosci       Date:  2003 Sep-Oct       Impact factor: 1.621

10.  Tuning neocortical pyramidal neurons between integrators and coincidence detectors.

Authors:  Michael Rudolph; Alain Destexhe
Journal:  J Comput Neurosci       Date:  2003 May-Jun       Impact factor: 1.621

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