Oxford Centre for Computational Neuroscience

Professor Edmund T. Rolls

Discoveries on Memory

Cerebral Cortex

The Noisy Brain

Memory, Attention, and Decision-Making

Neural Networks and Brain Function

Hippocampal spatial view neurons which provide an allocentric representation of spatial locations being viewed, that is updated by self-motion (129, 152, 202, 237, 244, 247, 256, 267, 594).


Hippocampal spatial view neurons that combine information about spatial view and the objects (130, 131, 380) or rewards (387), and are involved in recall (399), providing a basis for implementing episodic memory (539, B12, 594).

A theory for how hippocampal spatial view cells are involved in memory and navigation (584, 594, 539, B12).


Hippocampal neurons that respond to a combination of spatial view and place (202).


Whole-body motion neurons in the hippocampus (184), more recently termed 'speed cells'. These are relevant to hippocampal spatial representation update by self-motion, i.e. idiothetic update.


Hippocampal neurons that respond to a combination of spatial view and whole body motion (184, 202).


Head direction cells in the primate presubiculum (271).


A representation of long-term familiarity memory in the perirhinal cortex (343, 388).


Basal forebrain, probably cholinergic neurons, that project to the cortex and respond to forebrain-decoded reward, aversive, and novel stimuli (144, 145, 146, 177, B7, B11). These are thought to play a role in keeping the cerebral cortex alert to potentially important stimuli, and reducing the adaptation of cortical neurons (B12). Reduction in the performance of this system may contribute to some of the cognitive changes during aging (B8, B9, B12, 540).


Mechanisms involving synaptic facilitation that enable several items to be held simultaneously in short-term memory (523) and that may be useful in the syntax for language (537).


Information can be retrieved from biologically plausible attractor neuronal networks very rapidly (in less than 2 time constants of the synapses) (with A.Treves and colleagues) (222, 235, 294). This makes cortical computation with attractor networks possible (B8, B12).


The storage capacity of autoassociation and pattern association networks with sparse representations and diluted connectivity (150, 154, 222, 228, 515, 545, B12).

A theory and model of hippocampal operation and episodic memory, including pattern separation and pattern completion (111, 125, 136, 163, 186, 200, 205, 258, 266, 268, 300, 306, 307, 309, 345, 370, 403, 411, 415, 433, 453, 479, 504, 507, 521, 527, 529, 531, 539, 545, 550, 571, 584, B12).

A theory of how spatial view cells and hippocampal attractor networks are involved in the art of memory (571, 595).