An efficient method for computing synaptic conductances based on a kinetic model of receptor binding

Conductance-based integrate-and-fire models

Neural Computation

A simple model of transmitter release and facilitation

Neural Computation

Employing the Z-transform to optimize the calculation of the synaptic conductance of NMDA and other synaptic channels in network simulations

Neural Computation

Fast calculation of short-term depressing synaptic conductances

Neural Computation

Event-driven simulation of spiking neurons with stochastic dynamics

Neural Computation

Gamma rhythmic bursts: coherence control in networks of cortical pyramidal neurons

Neural Computation

Synchrony of fast-spiking interneurons interconnected by GABAergic and electrical synapses

Neural Computation

Independent Variable Time-Step Integration of Individual Neurons for Network Simulations

Neural Computation

Increased Synchrony with Increase of a Low-Threshold Calcium Conductance in a Model Thalamic Network: A Phase-Shift Mechanism

Neural Computation

Synthesis of Generalized Algorithms for the Fast Computation of Synaptic Conductances with Markov Kinetic Models in Large Network Simulations

Neural Computation

Exact simulation of integrate-and-fire models with synaptic conductances

Neural Computation

A biophysical neural accumulator model of decision making in an antisaccade task

Neurocomputing

Subthreshold oscillations and neuronal input-output relationships

Neurocomputing

Reaction to neural signatures through excitatory synapses in central pattern generator models

Neurocomputing

Connection Topology Selection in Central Pattern Generators by Maximizing the Gain of Information

Neural Computation

Multi-program approach for simulating recorded extracellular signals generated by neurons coupled to microelectrode arrays

Neurocomputing

Optimizing synaptic conductance calculation for network simulations

Neural Computation

Reinforcement learning of recurrent neural network for temporal coding

Neurocomputing

Modeling the Effects of Dopamine on the Antisaccade Reaction Times (aSRT) of Schizophrenia Patients

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II

Resonant Spike Propagation in Coupled Neurons with Subthreshold Activity

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II

Convergence in an Adaptive Neural Network: The Influence of Noise Inputs Correlation

IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence

Time Coding of Input Strength Is Intrinsic to Synapses with Short Term Plasticity

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I

Reconstructing synaptic background activity from conductance measurements in vivo

Neurocomputing

A synapse which can switch from inhibitory to excitatory and back

Neurocomputing

Recognition of temporal event sequences by a network of cortical neurons

Neurocomputing

Real-time simulations of networks of Hodgkin-Huxley neurons using analog circuits

Neurocomputing

A high level synthesis of an auditory mechanical to neural transduction circuit

IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1

A control approach to a biophysical neuron model

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

PAX: A mixed hardware/software simulation platform for spiking neural networks

Neural Networks

Synaptic information transfer in computer models of neocortical columns

Journal of Computational Neuroscience

Vectorized algorithms for spiking neural network simulation

Neural Computation

Flexible entrainment in a bio-inspired modular oscillator for modular robot locomotion

IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II

Learning rule of homeostatic synaptic scaling: Presynaptic dependent or not

Neural Computation

After-hyperpolarization currents and acetylcholine control sigmoid transfer functions in a spiking cortical model

Journal of Computational Neuroscience

Unsupervised formation of vocalization-sensitive neurons: A cortical model based on short-term and homeostatic plasticity

Neural Computation

Individual and collective properties of computationally efficient motoneuron models of types S and F with active dendrites

Neurocomputing

How degrading networks can increase cognitive functions

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I

Kinetic modelling of synaptic functions in the alpha rhythm neural mass model

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I

NeuVision: A novel simulation environment to model spontaneous and stimulus-evoked activity of large-scale neuronal networks

Neurocomputing

Controlling underwater robots with electronic nervous systems

Applied Bionics and Biomechanics