Contrast Dependant Center Surround Interactions in Area V4

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Presentation transcript:

Contrast Dependant Center Surround Interactions in Area V4 Kristy A Sundberg, Jude F Mitchell, John H Reynolds

Center Surround Receptive Field Organization RF Center Surround region

Stimulus

V4 Example Cells Center alone Firing rate Firing rate % Contrast 30 20 Center alone 20 Firing rate Firing rate 10 10 20 1 10 85 1 10 85 % Contrast % Contrast

V4 Example Cells Response Gain 1 10 85 20 30 20 Center alone Firing rate Firing rate 10 20 Center + Surround 1 10 85 % Contrast % Contrast

V4 Example Cells Contrast Gain Firing rate 1 10 85 20 30 % Contrast 1 10 85 20 % Contrast Center alone Center + Surround

Does response and contrast gain reflect different classes of cells?

Does response and contrast gain reflect different classes of cells? The same neuron can show both patterns. Contrast Gain Response gain Firing rate 1 10 85 20 30 % Contrast 1 10 85 20 30 Center alone Center alone Center + 20% Surround 20 Center + 85% Surround % Contrast

Simple divisive normalization model + - Add refs

+ - Simple divisive normalization model Center stimulus excitation (Ecenter) + - Center stimulus inhibition (Icenter)

+ - Simple divisive normalization model Center stimulus excitation (Ecenter) + - Center stimulus inhibition (Icenter) Model response to center stimulus (Ecenter)/(Icenter+A)

+ - Simple divisive normalization model surround stimulus excitation (Esurround) + - surround stimulus inhibition (Isurround)

+ - Simple divisive normalization model surround stimulus excitation (Esurround) + - surround stimulus inhibition (Isurround) Model response to surround stimulus (Esurround)/(Isurround+A)

+ - Simple divisive normalization model Model response to both stimuli (Ecenter + Esurround)/ (Icenter+ Isurround + A)

Simple divisive normalization model (Ecenter)/(Icenter+A) = center stimulus response 10 100 Ecenter Ec Icenter Ic

Simple divisive normalization model (Ecenter)/(Icenter+A) = center stimulus response 10 100 Ecenter Ec Response to center stimulus Icenter Ic

Predictions of divisive normalization model center stimulus response = (Ecenter)/(Icenter+A) Center alone Response 1 10 100 % Contrast

Predictions of divisive normalization model Center + surround stimulus response = (Ecenter + Esurround)/ (Icenter+ Isurround + A) Weak Is (low contrast surround) Center + Surround Response 1 10 100 % Contrast

Predictions of divisive normalization model Center + surround stimulus response = (Ecenter + Esurround)/ (Icenter+ Isurround + A) Weak Is (low contrast surround) Strong Is (high contrast surround) Center alone Response Center + Surround 1 10 100 1 10 100 % Contrast % Contrast

Predictions of divisive normalization model Center + surround stimulus response = (Ecenter + Esurround)/ (Icenter+ Isurround + A) 10 1 100 % Contrast Response Strong Is (high contrast surround) Weak Is (low contrast surround)

The same neuron can show both patterns. Firing rate 1 10 85 20 30 Center + 20% Surround Center alone 1 10 85 20 30 Center alone 20 Center + 85% Surround Weak Is (low contrast surround) Strong Is (high contrast surround) % Contrast Response 1 10 100 1 10 100 1 10 100 % Contrast % Contrast % Contrast

Summary Simple divisive normalization model can account for both response and contrast gain Relative strength of surround stimulus inhibitory input determines the pattern of suppression

V4 neurons can have peaked contrast response functions 20 50 Center alone Firing rate Firing rate 10 25 1 10 85 1 10 85 % Contrast % Contrast

Simple divisive normalization model (Ecenter)/(Icenter+A) = center stimulus response 10 100 Ecenter Ec Response to center stimulus Icenter Ic

Prediction of divisive normalization model (Ecenter)/(Icenter+A) = center stimulus response Center stimulus response Icenter Ecenter % Contrast

Prediction of divisive normalization model (Ecenter)/(Icenter+A) = center stimulus response % Contrast Center stimulus response Ecenter Icenter Icenter Ecenter % Contrast

Conclusions Small gratings induce large surround modulations in V4 Surround suppression shows patterns of both response gain and contrast gain Simple divisive normalization model can account for both response and contrast gain Peaked contrast response functions are predicted when V4 inputs have saturating contrast response functions.

Thanks Go To C. Williams J. Reyes

Contrast Dependant Center Surround Interactions in Area V4 Kristy A Sundberg, Jude F Mitchell, John H Reynolds E-mail: sundberg@salk.edu

90 90 90 80 80 80 70 70 70 60 60 60 50 50 50 40 40 40 30 30 30 20 20 20 10 10 10 10 -2 10 -1 10 10 -2 10 -1 10 10 -2 10 -1 10

Simple divisive normalization model (Ec+Es)/(Ic+Is+A) = V4 Response Ec = excitatory input from center stimulus Ic = Inhibitory input from center stimulus Es = excitatory input from surround stimulus Is = inhibitory input from surround stimulus A = small constant leak term

Physiology

Simple divisive normalization model (Ec)/(Ic+A) = V4 center stimulus response Ec Response to center stimulus Ic

Simple divisive normalization model (Ec)/(Ic+A) = V4 center stimulus response Ec Response to center stimulus Ic

Stimulus

Stimulus

Stimulus

V4 neurons can have peaked contrast response functions 20 50 Firing rate Firing rate 10 25 1 10 85 1 10 85 % Contrast % Contrast

Response Gain Example Center alone Firing rate % Contrast 30 20 10 1 1 10 85 % Contrast

Response Gain Example Center alone Firing rate Center + 85% surround 1 10 85 20 30 Center alone Firing rate Center + 85% surround % Contrast

Response Gain Example Center alone Firing rate Center + 85% surround 1 10 85 20 30 Center alone Firing rate Center + 85% surround % Contrast

Response Gain Example Center alone 30 20 Firing rate 10 Center + 85% surround 1 10 85 % Contrast

Response Gain Example Center alone 30 20 Firing rate 10 Center + 85% surround 1 10 85 % Contrast

Contrast Gain Example Center alone 15 Firing rate 10 5 1 10 85 1 10 85 % Contrast

Contrast Gain Example Center alone 15 Firing rate 10 5 Center + 85% surround 1 10 85 % Contrast

Contrast Gain Example Center alone 15 Firing rate 10 5 Center + 85% surround 1 10 85 % Contrast

Summary- Part 1 Large surround modulation induced by small grating stimuli Surround suppression shows patterns of both response gain and contrast gain

+ - Simple divisive normalization model Center stimulus excitation (Ecenter) + - Center stimulus inhibition (Icenter)

+ - Simple divisive normalization model Center stimulus excitation (Ecenter) + - Model response to center stimulus (Ecenter)/(Icenter+A) Center stimulus inhibition (Icenter)

+ - Simple divisive normalization model Center stimulus excitation (Ecenter) + - Model response to center stimulus (Ecenter)/(Icenter+A) Center stimulus inhibition (Icenter)

surround stimulus excitation (Es) surround stimulus inhibition (Is) Simple divisive normalization model surround stimulus excitation (Es) + - surround stimulus inhibition (Is)

surround stimulus excitation (Es) surround stimulus inhibition (Is) Simple divisive normalization model surround stimulus excitation (Es) Model response to surround stimulus (Es)/(Is+A) + - surround stimulus inhibition (Is)

+ - Simple divisive normalization model Model response to both stimuli (Ec+Es)/(Ic+Is+A) + -

Predictions of divisive normalization model (Ec)/(Ic+Is+A) = V4 Response Weak Is (low contrast surround) Response 1 10 100 % Contrast

The same neuron can show both patterns. 30 30 Center alone Center alone 20 20 Firing rate Firing rate 10 Center + 20% surround 10 Center + 85% surround 1 10 85 1 10 85 % Contrast % Contrast Weak Is (low contrast surround) Strong Is (high contrast surround) % Contrast % Contrast % Contrast % Contrast

Simple divisive normalization model (Ec)/(Ic+A) = V4 center stimulus response 10 100 Ec Ec Response to center stimulus Ic Ic

Summary Simple divisive normalization model predicts peaked contrast response functions when inhibitory input saturates at lower contrasts than excitatory input.