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Computational neuroscience
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The concept ** Computational neuroscience** represents the subject, aboutness, idea or notion of resources found in **University of Oklahoma Libraries**.

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Computational neuroscience
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The concept

**Computational neuroscience**represents the subject, aboutness, idea or notion of resources found in**University of Oklahoma Libraries**.- Label
- Computational neuroscience

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- 20 years of computational neuroscience
- A new foundation for representation in cognitive and brain science : category theory and the hippocampus
- Analysis of parallel spike trains
- Analyzing neural time series data : theory and practice
- BioInformation processing : a primer on computational cognitive science
- Biological and quantum computing for human vision : holonomic models and applications
- Biophysics of computation : information processing in single neurons
- Biophysics of computation : information processing in single neurons
- Brain computation as hierarchical abstraction
- Brain dynamics : synchronization and activity patterns in pulse-coupled neural nets with delays and noise
- Brain dynamics : synchronization and activity patterns in pulse-coupled neural nets with delays and noise
- Brain-machine interface engineering
- Cognitive code : post-anthropocentric intelligence and the infrastructural brain
- Computational modeling methods for neuroscientists
- Computational modeling methods for neuroscientists
- Computational models for neuroscience : human cortical information processing
- Computational neuroanatomy : principles and methods
- Computational neurogenetic modeling
- Computational neuroscience
- Computational neuroscience : a comprehensive approach
- Computational neuroscience : realistic modeling for experimentalists
- Computational neuroscience : simulated demyelinating neuropathies and neuronopathies
- Computational neuroscience and cognitive modelling : a student's introduction to methods and procedures
- Computational neuroscience for advancing artificial intelligence : models, methods and applications
- Computational neuroscience of drug addiction
- Computational neuroscience of vision
- Computational psychiatry : new perspectives on mental illness
- Computational theories and their implementation in the brain : the legacy of David Marr
- Computational vision : information processing in perception and visual behavior
- Computing brain activity maps from fMRI time-series images
- Computing the mind : how the mind really works
- Criticality in neural systems
- Directed information measures in neuroscience
- Dynamic-clamp : from principles to applications
- Emotion and decision-making explained
- Explaining the computational mind
- Form versus function : theory and models for neuronal substrates
- From computer to brain : foundations of computational neuroscience
- From computer to brain : foundations of computational neuroscience
- From human attention to computational attention : a multidisciplinary approach
- Fundamentals of computational neuroscience
- Handbook of neural engineering
- Handbook of neural engineering
- Human robotics : neuromechanics and motor control
- Human robotics : neuromechanics and motor control
- Intrinsic motivations and open-ended development in animals, humans, and robots
- Introduction to dynamic modeling of neuro-sensory systems
- Logic, Construction, Computation
- Logic, construction, computation
- Mathematical foundations of neuroscience
- Mathematics for neuroscientists
- Mathematics for neuroscientists
- Mind and mechanism
- Mind and mechanism
- Modeling in the neurosciences : from biological systems to neuromimetic robotics/
- Neural computation, neural devices, and neural prosthesis
- Neural control engineering : the emerging intersection between control theory and neuroscience
- Neural engineering : computation, representation, and dynamics in neurobiological systems
- Neural networks with discontinuous/impact activations
- Neuroelectrodynamics : understanding the brain language
- Neuroelectrodynamics : understanding the brain language
- Neuromorphic engineering systems and applications
- Neuronal ensemble modeling and analysis with variable order Markov Models
- Phase resetting in medicine and biology : stochastic modelling and data analysis
- Phase resetting in medicine and biology : stochastic modelling and data analysis
- Principles of computational modelling in neuroscience
- Principles of computational modelling in neuroscience
- Principles of noology : toward a theory and science of intelligence
- Sensory cue integration
- Spiking neuron models : single neurons, populations, plasticity
- Stochastic methods in neuroscience
- The brain from 25,000 feet : high level explorations of brain complexity, perception, induction, and vagueness
- The digital synaptic neural substrate : a new approach to computational creativity
- The graph theoretical approach in brain functional networks : theory and applications
- Theoretical neuroscience : computational and mathematical modeling of neural systems
- Toward replacement parts for the brain : implantable biomimetic electronics as neural prostheses
- Toward replacement parts for the brain : implantable biomimetic electronics as neural prostheses
- Tutorials in mathematical biosciences, I, Mathematical neuroscience
- Understanding vision : theory, models, and data
- Validating neuro-computational models of neurological and psychiatric disorders
- Visual cortex and deep networks : learning invariant representations

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