TL;DR
This work developed a task-optimized three-layer recurrent neural network with a place-field-like readout (RNNPF) for path integration and compared it with a variant using a Cartesian-coordinate readout.
Recurrent attractor networks are widely thought to form the basis of working memory1-3, but how they can be rapidly switched on and off is unclear4-7. Here we investigate stability and switching in a recurrent circuit of the fly navigation centre8. h∆K and PFG neurons are recurrently connected in a ring structure and e...
This work introduces a new class of equivariant recurrent neural networks, where the connectivity is based on group convolution, and reduces such networks to low-rank models using the group Fourier transform.
PRISM-M, a simple recurrent mathematical implementation of the Principle of Representation Integration for Stable Models, treats extraction, compression, integration, stabilization, and prediction/action as five interacting operations and tests whether they can produce internal states that persist over time while remai...
Sequences of stimuli can be maintained in working memory by encoding each item, together with its position, as a distinct pattern of neural population activity. Competing hypotheses about the underlying dynamics have been proposed: patterns of activity might be supported either by stable attractor states that persist o...
It is shown that a hippocampal network with appropriate recurrent connections can naturally achieve optimal goal-directed navigation via its relaxation dynamics, and it is proved that this field is mathematically equivalent to the desirability field of a Linearly-solvable Markov Decision Process (LMDP).
Many machine-learning approaches to nonlinear dynamical systems focus on trajectory prediction or equation discovery. This work introduces the Generative Dynamical Synthesis (GDS) framework, a behavioral learning approach in which an autonomous neural dynamical system is trained from asymptotic state-transition samples...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
