Foundations and Tools for Neural Modeling

Self-assembly of oscillatory neurons and networks.- Reverberating loops of information as a dynamic mode of functional organization of the N. S.: A working conjecture.- Reconstruction of brain networks by algorithmic amplification of morphometry data.- Slow learning and fast evolution: An approach to cytoarchitectonic parcellation.- Dendritic [Ca2+] dynamics in the presence of immobile buffers and of dyes.- Development of directionally selective microcircuits in striate cortex.- Neural circuitry and plasticity in the adult vertebrate inner retina.- Modelling the circuitry of the cuneate nucleus.- Filtering capability of neural networks from the developing mammalian hippocampus.- Spatial inversion and facilitation in the J. Gonzalo’s research of the sensorial cortex. Integrative aspects.- A self-organizing model for the development of ocular dominance and orientation columns in the visual cortex.- Gaze control with neural networks: A unified approach for saccades and smooth pursuit.- The neural net of Hydra and the modulation of its periodic activity.- A biophysical model of intestinal motility: Application in pharmacological studies.- Model of the neuronal net for detection of single bars and cross-like figures.- Connected cortical recurrent networks.- Inter-spike interval statistics of cortical neurons.- A new cochlear model based on adaptive gain mechanism.- Structure of lateral inhibition in an olfactory bulb model.- Effects of correlation and degree of balance in random synaptic inputs on the output of the hodgkin-huxley model.- Oscillations in the lower stations of the somatosensory pathway.- Effects of the ganglion cell response nonlinear mapping on visual system’s noise filtering characteristics.- Paradoxical relationship between output and input regularity for the FitzHugh-Nagumo model.- Synchronisation in a network of FHN units with synaptic-like coupling.- Two-compartment stochastic model of a neuron with periodic input.- Stochastic model of the place cell discharge.- Integrate-and-fire model with correlated inputs.- Noise modulation by stochastic neurons of the integrate-and fire type.- Bayesian modelling of neural networks.- Neural networks of the hopfield type.- Stability properties of BSB models.- Storage capacity of the exponential correlation associative memory.- A new input-output function for binary hopfield neural networks.- On the three layer neural networks using sigmoidal functions.- The capacity and attractor basins of associative memory models.- A modular attractor model of semantic access.- Priming an artificial associative memory.- What does a peak in the landscape of a Hopfield associative memory look like?.- Periodic and synchronic firing in an ensemble of identical stochastic units: Structural stability.- Driving neuromodules into synchronous chaos.- Aging and lévy distributions in sandpiles.- Finite size effects in neural networks.- On the computational power of limited precision weights neural networks in classification problems: How to calculate the weight range so that a solution will exist.- Estimating exact form of generalisation errors.- A network model for the emergence of orientation maps and local lateral circuits.- A neural network model for the self-organization of cortical grating cells.- Extended nonlinear hebbian learning for developing sparse-distributed representation.- Cascade error projection: A learning algorithm for hardware implementation.- Unification of supervised and unsupervised training.- On-line optimization of radial basis function networks with orthogonal techniques.- A fast orthogonalized FIR adaptive filter structure using recurrent hopfield-like network.- Using temporal neighborhoods to adapt function approximators in reinforcement learning.- Autonomous clustering for machine learning.- Bioinspired framework for general-purpose learning.- Learning efficient rulesets from fuzzy data with a genetic algorithm.- Self-organizing cases to find paradigms.- Training higher order Gaussian synapses.- On-line gradient learning algorithms for K-nearest neighbor classifiers.- Structure adaptation in artificial neural networks through adaptive clustering and through growth in state space.- Sensitivity analysis of radial basis function networks for fault tolerance purposes.- Association with multi-dendritic radial basis units.- A Boolean neural network controlling task sequences in a noisy environment.- SOAN: Self organizing with adaptive neighborhood neural network.- Topology preservation in SOFM: An euclidean versus manhattan distance comparison.- Supervised VQ learning based on temporal inhibition.- Improving the LBG algorithm.- Sequential learning algorithm for PG-RBF network using regression weights for time series prediction.- Parallel fuzzy learning.- Classification and feature selection by a self-organizing neural network.- SA-prop: Optimization of multilayer perceptron parameters using simulated annealing.- Mobile robot path planning using genetic algorithms.- Do plants optimize?.- Heuristic generation of the initial population in solving job shop problems by evolutionary strategies.- Randomness in heuristics: An experimental investigation for the maximum satisfiability problem.- Solving the packing and strip-packing problems with genetic algorithms.- Multichannel pattern recognition neural network.- A biologically plausible maturation of an ART network.- Adaptive resonance theory microchips.- Application of ART2-A as a pseudo-supervised paradigm to nuclear reactor diagnostics.- Supervised ART-I: A new neural network architecture for learning and classifying multi-valued input patterns.- Conscious and intentional access to unconscious decision-making module in ambiguous visual perception.- A psychophysical approach to the mechanism of human stereovision.- Neuronal coding and color sensations.- Neurocomputational models of visualisation: A preliminary report.- Self-organization of shift-invariant receptive fields.- Pattern recognition system with top-down process of mental rotation.- Segmentation of occluded objects using a hybrid of selective attention and symbolic knowledge.- Hypercolumn model: A modified model of neocognitron using hierarchical self-organizing maps.- Attentional strategies for object recognition.