Here we address how dynamics of glutamatergic and GABAergic synaptic input to CA3 pyramidal cells contribute to spontaneous emergence and evolution of recurrent seizure-like events (SLEs) in juvenile (P10-13) rat hippocampal slices bathed in low-[Mg(2+)] artificial cerebrospinal fluid. In field potential recordings from the CA3 pyramidal layer, a short epoch of high-frequency oscillation (HFO; ...

In the piriform cortex, individual odorants activate a unique ensemble of neurons that are distributed without discernable spatial order. Piriform neurons receive convergent excitatory inputs from random collections of olfactory bulb glomeruli. Pyramidal cells also make extensive recurrent connections with other excitatory and inhibitory neurons. We introduced channelrhodopsin into the piriform...

Recent work has shown that recurrent neural networks can be trained to behave as nite-state automata from samples of input strings and their corresponding outputs. However, most of the work has focused on training simple networks to behave as the simplest class of deterministic machines, Mealy (or Moore) machines. The class of translations that can be performed by these machines are very limite...

We provide input-output stability conditions for additive recurrent neural networks regarding them as dynamical operators between their input and output function spaces. The stability analysis is based on methods from non-linear feedback system theory and includes the case of time-varying weights, for instance introduced by on-line adaptation. The results assure that there are regions in weight...

We show here that a model for invariant object recognition described earlier [1] naturally displays effects of space based and object based attention. The network consists of three functional layers: an input layer for image representation, an intermediate assembly layer for recurrent information integration, and a gallery layer for memory storage (see figure). Each layer consists of cortical c...