Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions

2004 ◽  
pp. 64-69 ◽  
Author(s):  
Akhil R. Garg ◽  
Basabi Bhaumik ◽  
Klaus Obermayer
Keyword(s):  
Receptive Field ◽  
Field Structure ◽  
Simple Cell ◽  
Model Based ◽  
Synaptic Interactions

DEVELOPMENT OF FEEDFORWARD RECEPTIVE FIELD STRUCTURE OF A SIMPLE CELL AND ITS CONTRIBUTION TO THE ORIENTATION SELECTIVITY: A MODELING STUDY

2005 ◽  
Vol 15 (01n02) ◽  
pp. 55-70 ◽  
Author(s):  
AKHIL R GARG ◽  
KLAUS OBERMAYER ◽  
BASABI BHAUMIK
Keyword(s):  
Receptive Field ◽  
Field Structure ◽  
Orientation Selectivity ◽  
Simple Cell ◽  
Homogeneous State ◽  
Synaptic Efficacy ◽  
Synaptic Interactions ◽  
Experimental Findings ◽  
Modeling Study

Recent experimental studies of hetero-synaptic interactions in various systems have shown the role of signaling in the plasticity, challenging the conventional understanding of Hebb's rule. It has also been found that activity plays a major role in plasticity, with neurotrophins acting as molecular signals translating activity into structural changes. Furthermore, role of synaptic efficacy in biasing the outcome of competition has also been revealed recently. Motivated by these experimental findings we present a model for the development of simple cell receptive field structure based on the competitive hetero-synaptic interactions for neurotrophins combined with cooperative hetero-synaptic interactions in the spatial domain. We find that with proper balance in competition and cooperation, the inputs from two populations (ON/OFF) of LGN cells segregate starting from the homogeneous state. We obtain segregated ON and OFF regions in simple cell receptive field. Our modeling study supports the experimental findings, suggesting the role of synaptic efficacy and the role of spatial signaling. We find that using this model we obtain simple cell RF, even for positively correlated activity of ON/OFF cells. We also compare different mechanism of finding the response of cortical cell and study their possible role in the sharpening of orientation selectivity. We find that degree of selectivity improvement in individual cells varies from case to case depending upon the structure of RF field and type of sharpening mechanism.

scholarly journals Intervening inhibition underlies simple-cell receptive field structure in visual cortex

2009 ◽  
Vol 13 (1) ◽  
pp. 89-96 ◽  
Author(s):  
Bao-hua Liu ◽  
Pingyang Li ◽  
Yujiao J Sun ◽  
Ya-tang Li ◽  
Li I Zhang ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Receptive Field ◽  
Field Structure ◽  
Simple Cell

scholarly journals Parallel ON and OFF Cone Bipolar Inputs Establish Spatially Coextensive Receptive Field Structure of Blue-Yellow Ganglion Cells in Primate Retina

2009 ◽  
Vol 29 (26) ◽  
pp. 8372-8387 ◽  
Author(s):  
J. D. Crook ◽  
C. M. Davenport ◽  
B. B. Peterson ◽  
O. S. Packer ◽  
P. B. Detwiler ◽  
...  
Keyword(s):  
Receptive Field ◽  
Ganglion Cells ◽  
Field Structure

Receptive-field structure in cat striate cortex.

1981 ◽  
Vol 46 (2) ◽  
pp. 260-276 ◽  
Author(s):  
L A Palmer ◽  
T L Davis
Keyword(s):  
Receptive Field ◽  
Striate Cortex ◽  
Field Structure ◽  
Cat Striate Cortex

scholarly journals Attention operates uniformly throughout the classical receptive field and the surround

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Bram-Ernst Verhoef ◽  
John HR Maunsell
Keyword(s):  
Receptive Field ◽  
Cortical Neurons ◽  
Receptive Fields ◽  
Spatial Summation ◽  
Field Structure ◽  
Neuronal Responses ◽  
Large Variability ◽  
Area V4 ◽  
Classical Receptive Field ◽  
Spatially Varying

Shifting attention among visual stimuli at different locations modulates neuronal responses in heterogeneous ways, depending on where those stimuli lie within the receptive fields of neurons. Yet how attention interacts with the receptive-field structure of cortical neurons remains unclear. We measured neuronal responses in area V4 while monkeys shifted their attention among stimuli placed in different locations within and around neuronal receptive fields. We found that attention interacts uniformly with the spatially-varying excitation and suppression associated with the receptive field. This interaction explained the large variability in attention modulation across neurons, and a non-additive relationship among stimulus selectivity, stimulus-induced suppression and attention modulation that has not been previously described. A spatially-tuned normalization model precisely accounted for all observed attention modulations and for the spatial summation properties of neurons. These results provide a unified account of spatial summation and attention-related modulation across both the classical receptive field and the surround.

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