Il Memming Park Persistence Of Working Memory Computation Without Continuous Attractors Tsvp Talk

Memming Abstract: neural systems with dynamical structures, such as point and continuous attractors, are thought to support the temporal behaviors that require working memory. We demonstrate that, beyond the traditionally studied continuous attractors—which are brittle under d type perturbations—periodic and quasi periodic attractors can sustain learning over.

About Il Memming Park Medium Our theory has broad implications for the design of artificial learning systems and makes predictions about observable signatures of biological neural dynamics that can support temporal dependence learning and working memory. Il memming park other names group leader, champalimaud research; visiting associate professor, stony brook university verified email at research.fchampalimaud.org homepage. Persistent neural activity in the absence of a stimulus has been identified as a neural correlate of working memory, but how such activity is maintained by neocortical circuits remains. Our theory has broad implications for the design of artificial learning systems and makes predictions about observable signatures of biological neural dynamics that can support temporal dependence learning and working memory.

Il Memming Park The Transmitter Neuroscience News And Perspectives Persistent neural activity in the absence of a stimulus has been identified as a neural correlate of working memory, but how such activity is maintained by neocortical circuits remains. Our theory has broad implications for the design of artificial learning systems and makes predictions about observable signatures of biological neural dynamics that can support temporal dependence learning and working memory. We also propose a novel dynamical mechanism for generating ring attractor like neural activity without continuous attractors. park, i. m., ságodi, Á., & sokół, p. a. (2023). Abstract: neural dynamical systems with stable attractor structures, such as point attractors and continuous attractors, are hypothesized to underlie meaningful temporal behavior that requires working memory. This work developed a new initialization scheme for artificial recurrent neural networks that outperforms standard methods for tasks that require learning temporal dynamics and proposes a robust recurrent memory mechanism for integrating and maintaining head direction without a ring attractor. Neural dynamical systems with stable attractor structures, such as point attractors and continuous attractors, are hypothesized to underlie meaningful temporal behavior that requires working memory.

Il Memming Park The Transmitter Neuroscience News And Perspectives We also propose a novel dynamical mechanism for generating ring attractor like neural activity without continuous attractors. park, i. m., ságodi, Á., & sokół, p. a. (2023). Abstract: neural dynamical systems with stable attractor structures, such as point attractors and continuous attractors, are hypothesized to underlie meaningful temporal behavior that requires working memory. This work developed a new initialization scheme for artificial recurrent neural networks that outperforms standard methods for tasks that require learning temporal dynamics and proposes a robust recurrent memory mechanism for integrating and maintaining head direction without a ring attractor. Neural dynamical systems with stable attractor structures, such as point attractors and continuous attractors, are hypothesized to underlie meaningful temporal behavior that requires working memory.