A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications
Biological neural networks continue to inspire new developments in algorithms and
microelectronic hardware to solve challenging data processing and classification problems …
microelectronic hardware to solve challenging data processing and classification problems …
Graphics processing units and genetic programming: an overview
WB Langdon - Soft computing, 2011 - Springer
A top end graphics card (GPU) plus a suitable SIMD interpreter can deliver a several
hundred fold speed up, yet cost less than the computer holding it. We give highlights of AI …
hundred fold speed up, yet cost less than the computer holding it. We give highlights of AI …
GPU-accelerated flexible molecular docking
Virtual screening is a key enabler of computational drug discovery and requires accurate
and efficient structure-based molecular docking. In this work, we develop algorithms and …
and efficient structure-based molecular docking. In this work, we develop algorithms and …
An efficient automated parameter tuning framework for spiking neural networks
As the desire for biologically realistic spiking neural networks (SNNs) increases, tuning the
enormous number of open parameters in these models becomes a difficult challenge. SNNs …
enormous number of open parameters in these models becomes a difficult challenge. SNNs …
Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general purpose computing on graphics processing units
Real-time simulation of a biologically realistic spiking neural network is necessary for
evaluation of its capacity to interact with real environments. However, the real-time …
evaluation of its capacity to interact with real environments. However, the real-time …
Conditioned behavior in a robot controlled by a spiking neural network
LI Helgadottir, J Haenicke, T Landgraf… - 2013 6th …, 2013 - ieeexplore.ieee.org
Insects show a rich repertoire of goal-directed and adaptive behaviors that are still beyond
the capabilities of today's artificial systems. Fast progress in our comprehension of the …
the capabilities of today's artificial systems. Fast progress in our comprehension of the …
Benchmarking highly parallel hardware for spiking neural networks in robotics
Animal brains still outperform even the most performant machines with significantly lower
speed. Nonetheless, impressive progress has been made in robotics in the areas of vision …
speed. Nonetheless, impressive progress has been made in robotics in the areas of vision …
Flexible neuronal network simulation framework using code generation for NVidia® CUDA™
T Nowotny - BMC Neuroscience, 2011 - Springer
Simulating large scale computer models of brain structures with spiking neuronal networks
has become increasingly popular and feasible with the advent of general purpose …
has become increasingly popular and feasible with the advent of general purpose …
Modeling insect inspired mechanisms of neural and behavioral plasticity
J Haenicke - 2015 - refubium.fu-berlin.de
Die vorliegende Arbeit untersucht die Verarbeitungsprozesse im Inektenhirn, die der
Duftwahrnehmung und dem assoziativen Lernen zugrunde liegen. Kapitel 2 stellt eine …
Duftwahrnehmung und dem assoziativen Lernen zugrunde liegen. Kapitel 2 stellt eine …
Networks of place cells for representing 3D environments and path planning
Conventional methods for motion control and path planning in robots are nowhere near as
reactive and flexible as in nature. Brains solve navigation using place cells-neurons that …
reactive and flexible as in nature. Brains solve navigation using place cells-neurons that …