Software for SVM classification, SVR regression, and SVMR. SVMR is a machine that combines regression and classification in one single function.

Fast and robust learning by reinforcement signals: explorations in the insect brain

Techniques for temporal detection of neural sensitivity to external stimulation

Robust Microcircuit Synchronization by Inhibitory Connections.

Acceleration of chemo-sensory information processing using transient features.

Artificial Olfactory Brain for Mixture Identification.

Neuronal synchrony: Peculiarity and generality.

Chemosensor-Driven Artificial Antennal Lobe Transient Dynamics Enable Fast Recognition and Working Memory.

Neuroscience. Transient dynamics for neural processing.

Transient cognitive dynamics, metastability, and decision making.

Artificial synaptic modification reveals a dynamical invariant in the pyloric CPG.

Connection topology selection in central pattern generators by maximizing the gain of information.

Dynamics of sequential decision making.

Generation and reshaping of sequences in neural systems.

Topological determinants of epileptogenesis in large-scale structural and functional models of the dentate gyrus derived from experimental data.

Heteroclinic synchronization: ultrasubharmonic locking.

Self-organization in the olfactory system: one shot odor recognition in insects.

Reproducible sequence generation in random neural ensembles.

Analysis of perfect mappings of the stimuli through neural temporal sequences.

Learning classification in the olfactory system of insects.

Decoding temporal information through slow lateral excitation in the olfactory system of insects.

Biophysical model of synaptic plasticity dynamics.

Design parameters of the fan-out phase of sensory systems.

Dynamical synaptic plasticity: a model and connection to some experiments.

Robustness and enhancement of neural synchronization by activity-dependent coupling.

Contact tracing and epidemics control in social networks.

Explaining synchrony in feed-forward networks

Clusters of synchronization and bistability in lattices of chaotic neurons

Recovery of hidden information through synaptic dynamics.

Dynamical model of long-term synaptic plasticity.

Origin of coherent structures in a discrete chaotic medium.

Regularization mechanisms of spiking-bursting neurons.

Modeling of contact tracing in social networks

Connection topology dependence of synchronization of neural assemblies on class 1 and 2 excitability.

Dynamical encoding by networks of competing neuron groups: winnerless competition.

Model of transient oscillatory synchronization in the locust antennal lobe.

Global dynamics of a network of stochastic neurons maximizes local mutual information.

Spike-train bifurcation scaling in two coupled chaotic neurons

Topology selection by chaotic neurons of a pyloric central pattern generator.

Dynamical coding of sensory information with competitive networks.

Reliable circuits from irregular neurons: a dynamical approach to understanding central pattern generators.

Small-world topology for multi-agent collaboration

Analysis of Biologically Inspired Small-World Networks

Fast response and temporal coherent oscillations in small-world networks.

Cooperative behavior of a chain of synaptically coupled chaotic neurons

Modeling observed chaotic oscillations in bursting neurons: the role of calcium dynamics and IP3.

A central pattern generator to control a pyloric-based system.

Dynamic control of irregular bursting in an identified neuron of an oscillatory circuit.

Basic principles for generating motor output in the stomatogastric ganglion.

Negative effects of chemical mutagenesis on the adaptive behavior of vesicular stomatitis virus.

Reproducible nonlinear population dynamics and critical points during replicative competitions of RNA virus quasispecies.

Synchronized action of synaptically coupled chaotic model neurons.

A Finite Automata Model of Spiking-Bursting Neurons

Dynamics and kinematics of simple neural systems.

State-space reconstruction using averaged scalar products of the dynamical system flow vectors.

Local state-space reconstruction using averaged scalar products of the dynamical-system flow vectors

Recurrent and Feedforward Polynomial Modeling of Coupled Time Series