We recorded the activity of single neurons in the primary visual cortex (the first cortical stage of visual processing) and inferior temporal cortex (the last cortical stage), to study the mechanisms underlying visual perception. We know that neuronal responses simultaneously carry several different messages. The time the neurons start firing when a pattern is presented, the latency, is a code indicating how easily the pattern can be seen, and the intensity of the firing, the response strength, is a code indicating what the pattern is. Each member of a neuronal pair recorded from simultaneously with a single electrode in a given cortical visual area has responses that are independent of the other. A theoretical analysis shows that these neurons have the properties that would be expected if the cortex developed so that local groups of neurons had developed to minimize the loss of information during visual processing. Based on all of these findings taken together, we suggest that the visual system is sending messages that describe stimuli as complex, integrated objects from the earliest cortical stages, and that each neuron provides an independent description of the stimulus being viewed. We now know that the responses of inferior temporal neurons encode information about how well a stimulus fits a preconceived template of stimulus type, even when the stimulus is obscured by visual noise. We suggest that the traditional view of hierarchical processing should be modified to emphasize that features are combined specifically in the early parts of the processing sequence, and generalized by the later parts of the processing sequence.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Intramural Research (Z01)
Project #
1Z01MH002032-20
Application #
2578701
Study Section
Special Emphasis Panel (LN)
Project Start
Project End
Budget Start
Budget End
Support Year
20
Fiscal Year
1996
Total Cost
Indirect Cost
Name
U.S. National Institute of Mental Health
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Nakahara, Hiroyuki; Amari, Shun-ichi; Richmond, Barry J (2006) A comparison of descriptive models of a single spike train by information-geometric measure. Neural Comput 18:545-68
Shidara, Munetaka; Richmond, Barry J (2005) Effect of visual noise on pattern recognition. Exp Brain Res 163:239-41
Richmond, Barry; Wiener, Matthew (2004) Recruitment order: a powerful neural ensemble code. Nat Neurosci 7:97-8
Wiener, Matthew C; Richmond, Barry J (2003) Decoding spike trains instant by instant using order statistics and the mixture-of-Poissons model. J Neurosci 23:2394-406
Wiener, Matthew C; Richmond, Barry J (2002) Model based decoding of spike trains. Biosystems 67:295-300
Shidara, Munetaka; Richmond, Barry J (2002) Anterior cingulate: single neuronal signals related to degree of reward expectancy. Science 296:1709-11
Richmond, B (2001) Neuroscience. Information coding. Science 294:2493-4
Wiener, M C; Oram, M W; Liu, Z et al. (2001) Consistency of encoding in monkey visual cortex. J Neurosci 21:8210-21
Oram, M W; Hatsopoulos, N G; Richmond, B J et al. (2001) Excess synchrony in motor cortical neurons provides redundant direction information with that from coarse temporal measures. J Neurophysiol 86:1700-16
Liu, Z; Richmond, B J (2000) Response differences in monkey TE and perirhinal cortex: stimulus association related to reward schedules. J Neurophysiol 83:1677-92

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