Computational neuroscience.

Analysis of parallel spike trains by: (Language materials, printed)

Computational neuroscience for advancing artificial intelligence = models, methods and applications / by: (Electronic resources)

Mathematics for neuroscientists by: (Electronic resources)

Phase response curves in neuroscience = theory, experiment, and analysis / by: (Electronic resources)

Intelligence science by: (Electronic resources)

Stochastic biomathematical models : = with applications to neuronal modeling / by: (Language materials, printed)

Mathematical neuroscience by: (Electronic resources)

Computational neuroscience and cognitive modelling = a student's introduction to methods and procedures / by: (Electronic resources)

The digital synaptic neural substrate = a new approach to computational creativity / by: (Electronic resources)

From neuron to cognition via computational neuroscience / by: (Language materials, printed)

Computational and cognitive neuroscience of vision by: (Electronic resources)

Computational neurology and psychiatry by: (Electronic resources)

An introduction to modeling neuronal dynamics by: (Electronic resources)

Neuromorphic cognitive systems = a learning and memory centered approach / by: (Electronic resources)

Neural connectomics challenge by: (Electronic resources)

Computational neuroscience for advancing artificial intelligence : = models, methods and applications / by: (Language materials, printed)

Computational psychiatry : = mathematical modeling of mental illness / by: (Electronic resources)

Connectomics = applications to neuroimaging / by: (Electronic resources)

Neural assemblies = an alternative approach to classical artificial intelligence / by: (Electronic resources)

Futuristic design and intelligent computational techniques in neuroscience and neuroengineering by: (Electronic resources)

Introducing computation to neuroscience = selected papers of George Gerstein / by: (Electronic resources)

Exploring future opportunities of brain-inspired artificial intelligence by: (Electronic resources)

Spiking neuron models = single neurons, populations, plasticity / by: (Language materials, printed)

Neural engineering = computation, representation, and dynamics in neurobiological systems / by: (Language materials, printed)

Mind and mechanism by: (Language materials, printed)

Computational vision = information processing in perception and visual behavior / by: (Language materials, printed)

Tutorials in Mathematical Biosciences.. I,. Mathematical Neuroscience by: (Language materials, printed)

Computational neuroscience = realistic modeling for experimentalists / by: (Language materials, printed)

Introduction to dynamic modeling of neuro-sensory systems by: (Language materials, printed)

Computational neuroscience = comprehensive approach / by: (Language materials, printed)

Fundamentals of computational neuroscience / by: (Language materials, printed)

From computer to brain = foundations of computational neuroscience / by: (Language materials, printed)

Stochastic methods in neuroscience by: (Language materials, printed)

Sensory cue integration / by: (Language materials, printed)

Neuroelectrodynamics = understanding the brain language / by: (Language materials, printed)

Neural networks with discontinuous/impact activations by: (Electronic resources)

A new foundation for representation in cognitive and brain science = category theory and the hippocampus / by: (Electronic resources)

Calculus of thought = neuromorphic logistic regression in cognitive machines / by: (Electronic resources)

Emotion and Decision-making Explained by: (Electronic resources)

Sensory Cue Integration by: (Electronic resources)

Computational neuroscience = simulated demyelinating neuropathies and neuronopathies / by: (Electronic resources)

Validating neuro-computational models of neurological and psychiatric disorders by: (Electronic resources)

BioInformation processing = a primer on computational cognitive science / by: (Electronic resources)

From human attention to computational attention = a multidisciplinary approach / by: (Electronic resources)

Principles of noology = toward a theory and science of intelligence / by: (Electronic resources)

Form versus function = theory and models for neuronal substrates / by: (Electronic resources)

Analyzing neural time series data : = theory and practice / by: (Language materials, printed)

Computational neuroscience models of the basal ganglia by: (Electronic resources)

Computational systems biology of synaptic plasticity = modelling of biochemical pathways related to memory formation and impairment / by: (Electronic resources)

Pathological brain detection by: (Electronic resources)

Space-time computing with temporal neural networks by: (Electronic resources)

Neuroimaging, software, and communication = the social code of source code / by: (Electronic resources)

Why brains don't compute by: (Electronic resources)

Spiking neuron models : = single neurons, populations, plasticity / by: (Language materials, printed)

Retinal computation by: (Electronic resources)

Artificial intelligence = a bridge between psychoanalysis and neurology : the psi-organ in a nutshell / by: (Electronic resources)

Neural engineering : = computation, representation, and dynamics in neurobiological systems / by: (Language materials, printed)

Dynamic-clamp = from principles to applications / by: (Language materials, printed)

Time-space, spiking neural networks and brain-inspired artificial intelligence by: (Electronic resources)

Nature-inspired computing paradigms in systems = reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) / by: (Electronic resources)

Computational neuroscience by: (Language materials, printed)

Mathematical foundations of neuroscience by: (Language materials, printed)

Computational neuroscience of drug addiction by: (Electronic resources)

Computing Brain Activity Maps from fMRI Time-Series Images. by: (Electronic resources)

Directed information measures in neuroscience by: (Electronic resources)

Nonlinear dynamics in computational neuroscience by: (Electronic resources)