Adaptation. The transformations of stories through code-switching / L'adattamento. Le trasformazioni delle storie nei passaggi di codice

Simulated recordings (10101 ms) of the LFP generated by the 3D network described in the paper, computed from LFPy. Virtual electrode is located 875 microns away from network center. Each row is a different depth. Input intensity is 1.5 sp/m

Simulated laminar recordings for input intensity 1.5 sp/ms when synaptic model is conductance based

Simulated recordings (10101 ms) of the LFP generated by the 3D network with conductance-based synapses described in the paper, computed from LFPy. Each row is a different depth. Input intensity is reported in the title

Simulated laminar recordings for excitatory synapses only in the lower dendritic bush

Simulated recordings (10101 ms) of the LFP generated by the 3D network described in the paper when excitatory synapses are located only in the lower dendritic bush, computed from LFPy. Each row is a different depth. Input intensity is 1.5 sp/ms

Simulated laminar recordings for excitatory synapses only in the upper dendritic bush

Simulated recordings (10101 ms) of the LFP generated by the 3D network described in the paper when excitatory synapses located only in the upper dendritic bush, computed from LFPy. Each row is a different depth. Input intensity is 1.5 sp/ms

Simulated laminar recordings for input intensity 3.0 sp/ms

Simulated recordings (10101 ms) of the LFP generated by the 3D network described in the paper, computed from LFPy. Each row is a different depth. Input intensity is reported in the title

Simulated laminar recordings from reconstructed morphologies for input intensity 3.0 sp/ms

Simulated recordings (10101 ms) of the LFP generated by the 3D network with reconstructed (rather than artificial) morphologies described in the paper, computed from LFPy. Each row is a different depth. Input intensity is reported in the title

LIF network output variables for input 0.5 sp/ms

LIF network output variables for input 0.5 sp/ms Outputs of Leaky Integrate and Fire Network described in the paper for input intensity 1.5 sp/ms. Simulation lasts for 10100 ms sampled at 20kHz. Columns are 1) Membrane potential 2-5) local AMPA, thalamic AMPA, long range cortical AMPA, local GABA over excitatory neurons, 6-9) same as 2-5) but computed over inhibitory neurons, 10) input firing rate, 11-12) firing rate of inhibitory neurons and excitatory neuron

Simulated laminar recordings for homogeneous synaptic distribution

Simulated recordings (10101 ms) of the LFP generated by the 3D network described in the paper when both inhibitory and excitatory synapses are distributed homogeneously over the whole neuron surface, computed from LFPy. Each row is a different depth. Input intensity is 1.5 sp/ms

Simulated laminar recordings 375 microns from network center

Simulated recordings (10101 ms) of the LFP generated by the 3D network described in the paper, computed from LFPy. Virtual electrode is located 375 microns away from network center. Each row is a different depth. Input intensity is 1.5 sp/ms

LIF network output variables for input 1.5 sp/ms

Outputs of Leaky Integrate and Fire Network described in the paper for input intensity 1.5 sp/ms. Simulation lasts for 10100 ms sampled at 20kHz. Columns are 1) Membrane potential 2-5) local AMPA, thalamic AMPA, long range cortical AMPA, local GABA over excitatory neurons, 6-9) same as 2-5) but computed over inhibitory neurons, 10) input firing rate, 11-12) firing rate of inhibitory neurons and excitatory neuron