Fig. 1 Phase lag values (vertical axis) in the neuropercolation model with excitatory-inhibitory layers; x-axis: time steps; y-axis: spatial steps (channels from 1 to 256). (a) Noise level 13 (subcritical): high…
Fig. 1 Left: idealized diagram of organization in V1 of OP, 0–180°, about singularities, and with marginal continuity, within an hexagonal framework composed of superficial patch connections. Right: experimental data…
(1) One may view the transition probability as a function of a state variable x and its time derivative x’, that is, (2)The dynamical systems law is written by (3)Then,…
Fig. 1 Structure of septo-hippocampal network model. Three hippocampal neuron populations and one medial septal population are modeled explicitly. Two medial septal populations are modeled indirectly by their rhythmic or…
Fig. 1 An example of the stimulus artifacts removal in a stimulation task. (a) The first figure shows the communicated sEMG, and the other one is the filtered result. (b)…
Fig. 1 Basic structure of the model. The model consists of multiple layers, of which the unit is given as spiking module (S-module) and oscillatory module (O-module). The unit receives…
Fig. 1 The event sequence in the path-planning task. Green, red and yellow squares denote the cursor, final-goal, and GO signals, respectively 2 Methods The details of the experimental procedures…
Fig. 1 The computational model of the ITD detection neural circuit. The input signal of each ear has the same frequency, and ∆T is the ITD signal The inner hair…
Fig. 1 64 superimposed band pass filtered ECoGs In this review we focus on the process by which brains use sensory information (I) to create fragments of knowledge (K) in…
Fig. 1 Preference matrix; columns – subjects (11); lines – objects (22); greenish – rather ‘yes’, p > 0.5; reddish – rather ‘no’, p < 0.5 Fig. 2 Impact matrix; columns – subjects (11);…
