Distributed associative memory for use in scene analysis
Image and Vision Computing
Marr's theory of the neocortex as a self-organizing neural network
Neural Computation
What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?
Neural Networks - Special issue on organisation of computation in brain-like systems
A high performance k-NN classifier using a binary correlation matrix memory
Proceedings of the 1998 conference on Advances in neural information processing systems II
Images of the mind: brain images and neural networks
Emergent neural computational architectures based on neuroscience
Stimulus-independent data analysis for fMRI
Emergent neural computational architectures based on neuroscience
Emergence of modularity within one sheet of neurons: a model comparison
Emergent neural computational architectures based on neuroscience
Computational investigation of hemispheric specialization and interactions
Emergent neural computational architectures based on neuroscience
Explorations of the interaction between split processing and stimulus types
Emergent neural computational architectures based on neuroscience
Modularity and specialized learning: mapping between agent architectures and brain organization
Emergent neural computational architectures based on neuroscience
Biased competition mechanisms for visual attention in a multimodular neurodynamical system
Emergent neural computational architectures based on neuroscience
Recurrent long-range interactions in early vision
Emergent neural computational architectures based on neuroscience
Neural mechanisms for representing surface and contour features
Emergent neural computational architectures based on neuroscience
Representations of neuronal models using minimal and bilinear realisations
Emergent neural computational architectures based on neuroscience
Collaborative cell assemblies: building blocks of cortical computation
Emergent neural computational architectures based on neuroscience
On the influence of threshold variability in a mean-field model of the visual cortex
Emergent neural computational architectures based on neuroscience
Towards computational neural systems through developmental evolution
Emergent neural computational architectures based on neuroscience
Synchronisation, binding, and the role of correlated firing in fast information transmission
Emergent neural computational architectures based on neuroscience
Segmenting state into entities and its implication for learning
Emergent neural computational architectures based on neuroscience
Temporal structure of neural activity and modelling of information processing in the brain
Emergent neural computational architectures based on neuroscience
Emergent neural computational architectures based on neuroscience
Locust olfaction (synchronous oscillations in excitatory and inhibitory groups of spiking neurons)
Emergent neural computational architectures based on neuroscience
Emergent neural computational architectures based on neuroscience
Neural network classification of word evoked neuromagnetic brain activity
Emergent neural computational architectures based on neuroscience
Simulation studies of the speed of recurrent processing
Emergent neural computational architectures based on neuroscience
The dynamics of learning and memory: lessons from neuroscience
Emergent neural computational architectures based on neuroscience
Biological grounding of recruitment learning and vicinal algorithms in long-term potentiation
Emergent neural computational architectures based on neuroscience
Plasticity and nativism: towards a resolution of an apparent paradox
Emergent neural computational architectures based on neuroscience
Cell assemblies as an intermediate level model of cognition
Emergent neural computational architectures based on neuroscience
Modelling higher cognitive functions with Hebbian cell assemblies
Emergent neural computational architectures based on neuroscience
Spiking associative memory and scene segmentation by synchronization of cortical activity
Emergent neural computational architectures based on neuroscience
A familiarity discrimination algorithm inspired by computations of the perirhinal cortex
Emergent neural computational architectures based on neuroscience
Linguistic computation with state space trajectories
Emergent neural computational architectures based on neuroscience
Robust stimulus encoding in olfactory processing: hyperacuity and efficient signal transmission
Emergent neural computational architectures based on neuroscience
Finite-state computation in analog neural networks: steps towards biologically plausible models?
Emergent neural computational architectures based on neuroscience
An investigation into the role of cortical synaptic depression in auditory processing
Emergent neural computational architectures based on neuroscience
Emergent neural computational architectures based on neuroscience
Emergent neural computational architectures based on neuroscience
Connectionist propositional logic (a simple correlation matrix memory based reasoning system)
Emergent neural computational architectures based on neuroscience
Analysis and synthesis of agents that learn from distributed dynamic data sources
Emergent neural computational architectures based on neuroscience
Emergent neural computational architectures based on neuroscience
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Present approaches for computing do not have the performance, flexibility and reliability of neural information processing systems. In order to overcome this, conventional computing systems could benefit from various characteristics of the brain such as modular organisation, robustness, timing and synchronisation, and learning and memory storage in the central nervous system. This overview incorporates some of the key research issues in the field of biologically inspired computing systems.