Patent
Elementary network description for efficient memory management in neuromorphic systems
TLDR
In this paper, the Elementary Network Description (END) format is proposed to describe a large-scale neuronal model and implementations of software or hardware engines to simulate such a model efficiently, and the architecture of such neuromorphic engines is optimal for high-performance parallel processing of spiking networks with spike-timing dependent plasticity.Abstract:
A simple format is disclosed and referred to as Elementary Network Description (END). The format can fully describe a large-scale neuronal model and embodiments of software or hardware engines to simulate such a model efficiently. The architecture of such neuromorphic engines is optimal for high-performance parallel processing of spiking networks with spike-timing dependent plasticity. Methods for managing memory in a processing system are described whereby memory can be allocated among a plurality of elements and rules configured for each element such that the parallel execution of the spiking networks is most optimal.read more
Citations
More filters
Patent
Intelligent control with hierarchical stacked neural networks
TL;DR: In this paper, a system and method of detecting an aberrant message is provided, based on the ordered set of words and the semantic attributes of the corresponding set of expected words.
Patent
Apparatus and methods for control of robot actions based on corrective user inputs
Philip Meier,Jean-Baptiste Passot,Borja Ibarz Gabardos,Patryk Laurent,Oleg Sinyavskiy,Peter O'Connor,Eugene M. Izhikevich +6 more
TL;DR: In this paper, the authors present methods and systems that respond to users' corrective commands to generate and refine a policy for determining appropriate actions based on sensor-data input, upon completion of learning, the system can generate control commands by deriving them from the sensory data.
Patent
Apparatus and methods for temporally proximate object recognition
Filip Piekniewski,Csaba Petre,Sach Sokol,Botond Szatmary,Jayram Moorkanikara Nageswaran,Eugene M. Izhikevich +5 more
TL;DR: In this article, the input signal is represented as an element of an image, and the extracted information is encoded into patterns of pulses, which are directed via transmission channels to a plurality of detector nodes configured to generate an output pulse upon detecting an object of interest.
Patent
Apparatus and methods for pulse-code invariant object recognition
TL;DR: In this paper, the information is encoded in one variant as a pattern of pulse latencies relative to an occurrence of a temporal event; e.g., the appearance of a new visual frame or movement of the image.
Patent
Apparatus and methods for polychronous encoding and multiplexing in neuronal prosthetic devices
TL;DR: In this paper, a retinal prosthetic encodes the input signal into the polychronous patterns for delivery via stimulating electrodes, thus providing for message multiplexing, and an adaptive feedback mechanism is employed to facilitate encoder operation.
References
More filters
Journal ArticleDOI
Simple model of spiking neurons
TL;DR: A model is presented that reproduces spiking and bursting behavior of known types of cortical neurons and combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficiency of integrate-and-fire neurons.
Journal ArticleDOI
Polychronization: Computation with Spikes
TL;DR: A minimal spiking network that can polychronize, that is, exhibit reproducible time-locked but not synchronous firing patterns with millisecond precision, as in synfire braids is presented.
Journal ArticleDOI
PyNN: A Common Interface for Neuronal Network Simulators.
Andrew P. Davison,Daniel Brüderle,Jochen Martin Eppler,Jens Kremkow,Eilif Muller,Dejan Pecevski,Laurent Perrinet,Pierre Yger +7 more
TL;DR: PyNN increases the productivity of neuronal network modelling by providing high-level abstraction, by promoting code sharing and reuse, and by providing a foundation for simulator-agnostic analysis, visualization and data-management tools.
Journal ArticleDOI
Solving the distal reward problem through linkage of STDP and dopamine signaling
TL;DR: This study emphasizes the importance of precise firing patterns in brain dynamics and suggests how a global diffusive reinforcement signal in the form of extracellular DA can selectively influence the right synapses at the right time.