Results 1 to 10 of about 204 (91)
Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics [PDF]
In this paper we demonstrate how the Nengo neural modeling and simulation libraries enable users to quickly develop robotic perception and action neural networks for simulation on neuromorphic hardware using tools they are already familiar with, such as ...
Travis Dewolf +2 more
exaly +8 more sources
Automatic Optimization of the Computation Graph in the Nengo Neural Network Simulator [PDF]
One critical factor limiting the size of neural cognitive models is the time required to simulate such models. To reduce simulation time, specialized hardware is often used.
Chris Eliasmith, Eliasmith Chris
exaly +7 more sources
Nengo: a Python tool for building large-scale functional brain models [PDF]
Neuroscience currently lacks a comprehensive theory of how cognitive processes can be implemented in a biological substrate. The Neural Engineering Framework (NEF) proposes one such theory, but has not yet gathered significant empirical support, partly ...
Trevor Bekolay +2 more
exaly +7 more sources
Python scripting in the Nengo simulator [PDF]
Nengo is an open-source neural simulator that has been greatly enhanced by the recent addition of a Python script interface. Nengo provides a wide range of features that are useful for physiological simulations, including unique features that facilitate
Terrence Stewart +2 more
exaly +5 more sources
A Novel Robotic Controller Using Neural Engineering Framework-Based Spiking Neural Networks [PDF]
This paper investigates spiking neural networks (SNN) for novel robotic controllers with the aim of improving accuracy in trajectory tracking. By emulating the operation of the human brain through the incorporation of temporal coding mechanisms, SNN ...
Claudio Urrea +2 more
exaly +4 more sources
Robustness Through Simplicity: A Minimalist Gateway to Neurorobotic Flight [PDF]
In attempting to build neurorobotic systems based on flying animals, engineers have come to rely on existing firmware and simulation tools designed for miniature aerial vehicles (MAVs). Although they provide a valuable platform for the collection of data
Simon D. Levy
doaj +2 more sources
Neuromorphic Neural Engineering Framework-Inspired Online Continuous Learning with Analog Circuitry
Neuromorphic hardware designs realize neural principles in electronics to provide high-performing, energy-efficient frameworks for machine learning. Here, we propose a neuromorphic analog design for continuous real-time learning.
Elishai Ezra Tsur, Ezra Tsur Elishai
exaly +3 more sources
Consistency in the supply of larval fishes among coral reefs in French Polynesia. [PDF]
For marine fishes with a bipartite life cycle, pelagic larval dispersal can shape the distribution, connectivity, composition and resilience of adult populations.
Marc Besson +14 more
doaj +2 more sources
Carcharhinus amblyrhynchos is an endangered Indo‐Pacific reef shark, which shows reef fidelity but long‐distance movements, raising questions about connectivity patterns and the extent of conservation units. Using genomic data, we show that it has undergone a range expansion from the Indo‐Australian Archipelago (IAA) and is organized as a meta ...
Pierre Lesturgie +7 more
wiley +1 more source
A Critical Review on the Development and Utilization of Energy Systems in Uganda
We live in a world that is completely dependent on energy; thus, humankind can no longer live without power. With electricity being the main form of energy today, this has increased the complexity of our life today. In Uganda, electricity generation is mainly through hydropower, which puts the country in the bottleneck of overdependence on one source ...
Ocident Bongomin +2 more
wiley +1 more source

