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Connecting multiple spatial scales to decode the population activity of grid cells

Related publications (38)

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Motor intention in the posterior parietal cortex

Jugoslava Acimovic

The complexity of processes occurring in the brain is an intriguing issue not just for scientists and medical doctors, but the humanity in general. The cortex ability to perceive and analyze an enormous amount of information in an instance of time, the par ...

EPFL2008

Neural modeling of the cortical processes underlying imitative behaviors

Eric Sauser

Imitation is the ability to recognize, learn and reproduce the actions of others. In addition to facilitating the transmission of knowledge and skills, it has been suggested that this fundamental cognitive capacity is at the origin of other human faculties ...

EPFL2008

Slowness and Sparseness Lead to Place, Head-Direction, and Spatial-View Cells

We present a model for the self-organized formation of place cells, head-direction cells, and spatial-view cells in the hippocampal formation based on unsupervised learning on quasi-natural visual stimuli. The model comprises a hierarchy of Slow Feature An ...

Public Library of Science2007

Spatial navigation in geometric mazes

Navigation is defined as the capability of planning and performing a path from the current position towards a desired location. Different types, or strategies, of navigation are used by animals depending on the task they are trying to solve. Visible goals ...

EPFL2007

Spatial learning and navigation in the rat

Ricardo Andres Chavarriaga Lozano

Animals behave in different ways depending on the specific task they are required to solve. In certain cases, if a cue marks the goal location, they can rely on simple stimulusresponse associations. In contrast, other tasks require the animal to be endowed ...

EPFL2005

Robust self-localisation and navigation based on hippocampal place cells

Wulfram Gerstner, Ricardo Andres Chavarriaga Lozano, Thomas Strösslin

A computational model of the hippocampal function in spatial learning is presented. A spatial representation is incrementally acquired during exploration. Visual and self-motion information is fed into a network of rate-coded neurons. A consistent and stab ...

Elsevier2005

Spatial Representation and Navigation in a Bio-inspired Robot

Wulfram Gerstner, Ricardo Andres Chavarriaga Lozano, Thomas Strösslin

A biologically inspired computational model of rodent repre-sentation?based (locale) navigation is presented. The model combines visual input in the form of realistic two dimensional grey-scale images and odometer signals to drive the firing of simulated p ...

2005

Modelling Path Integrator Recalibration Using Hippocampal Place cells

Wulfram Gerstner, Ricardo Andres Chavarriaga Lozano, Thomas Strösslin

The firing activities of place cells in the rat hippocampus exhibit strong correlations to the animal's location. External (e.g. visual) as well as internal (proprioceptive and vestibular) sensory information take part in controlling hippocampal place fiel ...

Springer-Verlag GmbH2005

A connectionist model of spatial learning in the rat

Thomas Strösslin

When animals explore an environment, they store useful spatial information in their brains. In subsequent visits, they can recall this information and thus avoid dangerous places or find again a food location. This ability, which may be crucial for the ani ...

EPFL2004

Computational Models for Generic Cortical Microcircuits

Henry Markram

The human nervous system processes a continuous stream of multi-modal input from a rapidly changing environment. A key challenge for neural modeling is to explain how the neural microcircuits (columns, minicolumns, etc.) in the cerebral cortex whose anatom ...

Chapman & Hall/CRC2004