Mapping neural dynamics of a neural model on to a coarsely grained look-up table
AssigneeInternational Business Machines Corporation
InventorsRodrigo Alvarez-Icaza Rivera, John V. Arthur, Andrew S. Cassidy, Paliab Datta, Paul A. Merolla, Dharmendra S. Modha
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Abstract
Embodiments of the invention relate to mapping neural dynamics of a neural model on to a lookup table. One embodiment comprises defining a phase plane for a neural model. The phase plane represents neural dynamics of the neural model. The phase plane is coarsely sampled to obtain state transition information for multiple neuronal states. The state transition information is mapped on to a lookup table.
Claims22
A method for mapping neural dynamics of a neural model representing biological neurons, the method comprising:
- defining a phase plane for a neural model, wherein the phase plane represents neural dynamics of the neural model;
- coarsely sampling the phase plane to obtain state transition information for multiple neuronal states;
- and
- mapping the state transition information on to a lookup table.
A method, comprising:
- defining how a system state of a system changes over time, wherein a system state changes based on a current system state of the system;
- coarsely sampling a set of system states for at least one element of the system to obtain information about how the system state of the system changes over time for each element of said set;
- and
- maintaining the information obtained in a lookup table, wherein the lookup table is configured to provide information about a next system state of the system based on a current system state of the system.
A computer program product for mapping neural dynamics of a neural model representing biological neurons, the computer program product comprising a computer-readable storage medium having program code embodied therewith, the program code being executable by a computer to:
- define a phase plane for a neural model, wherein the phase plane represents neural dynamics of the neural model;
- coarsely sample the phase plane to obtain state transition information for multiple neuronal states;
- and
- map the state transition information on to a lookup table.
A computer program product for maintaining information about system state changes in a lookup table, the computer program product comprising a computer-readable storage medium having program code embodied therewith, the program code being executable by a computer to:
- define how a system state of a system changes over time, wherein a system state changes based on a current system state of the system;
- coarsely sample a set of system states for at least one element of the system to obtain information about how the system state of the system changes over time for each element of said set;
- and
- maintain the information obtained in a lookup table, wherein the lookup table is configured to provide information about a next system state of the system based on a current system state of the system.
Dependencies are inferred from the claim text.