If any questions arise, please contact [email protected]
The sharing folder consists of:
1. monkey_LFP_V1_stimulus_contrast_example_data (Fig.1A-B)
Example monkey data (one contact of a laminar probe inserted in parafoveal V1 , see Roberts et al.,2013 in Neuron)
with 8 different contrast conditons. A square-wave grating is shown with different constrasts that stimulated the V1 receptive field.
The monkey is engaged in a passive fixation task.
2. PING_HH_increasing_drive
Here a single PING- network receive different level of excitatory input. This corresponds to Fig.1 C-F. This simulation to show that a
PING network react with increasing gamma frequency with increasing input drive. The relates to the experimental observation in the
monkey experiment where it is known that visual contrast increase the input drive to V1.
8 input level conditions are inlcuded here. The neuronal spiking data (spikes) as well as different network signals (signals) are
included.
3. two_interacting_PING_HH_data
This relates to Fig.2. Here two interacting PING networks are simulated. The coupling strength as well as the input level difference is manipulated systematically
to be able to reconstruct the Arnold tongue. In each folder the spikes, network signals as well the inputs to the both PING networks are included.
The coupling values are in the folder names.
4. ring_PING_HH_data
Here different simulaiton with the ring-PING network is included. Simulations realted to Fig.3 as well as Suppl.Fig 1-2 are included. Only the relevant spiking data are included.
5. phase_oscillator_lattice_data
It includes the simulation output data from the lattice phase-oscillator model for each of 80 input natural contrast images used. The natural contrast images
were used to set the intrinisc freuqency of the phase-osicllators. This relates to Fig.7-8.
6. code_phase_oscillator_ring_network.m (MATLAB code)
This simulation code corresponds to Fig.6. The simulation code reproduces the output data of the ring-phase-oscillator model.
7. code_izhi_ring_network.m(MATLAB code)
This simulation code corresponds to Suppl.Fig.3. The simulation code reproduces the output data of the ring-PING network with Izhikevih-type neurons
