Design and FPGA implementation of an embedded real-time biologically plausible spiking neural network processor

No abstract is available for this paper.

• Publication year

  2005

• Venue

  International Conference on Field-Programmable Logic and Applications

• Publication date

  2005-10-10

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/FPL.2005.1515790
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• On the computational power of circuits of spiking neurons

  2004cited by this paper
• A new VLSI model of neural microcircuits including spike time dependent plasticity

  2004cited by this paper
• A computational model of action selection in the basal ganglia. I. A new functional anatomy

  2001cited by this paper
• Synaptic Plasticity in Spiking Neural Networks ( SP 2 INN ) : A System Approach

  2001cited by this paper
• ARBIB: An autonomous robot based on inspirations from biology

  2000cited by this paper
• Computing with spiking neurons

  1999cited by this paper

• A Survey of Intelligent Chip Design Research Based on Spiking Neural Networks

  2022cites this paper
• Financial Time Series Forecasting: Comparison of Traditional and Spiking Neural Networks

  2021cites this paper
• A Spiking Neural Network Controller Design with VHDL Based on SSO Algorithm for Inverted Pendulum

  2019cites this paper
• Spiking Neural Network Implementation on FPGA for Robotic Behaviour

  2019cites this paper
• A Survey of Neuromorphic Computing and Neural Networks in Hardware

  2017cites this paper
• FPGA Based Platform for Spiking Neural Network

  2017cites this paper
• Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis

  2015cites this paper
• A new classification approach for neural networks hardware: from standards chips to embedded systems on chip

  2014cites this paper
• Spike-based analog-digital neuromorphic information processing system for sensor applications

  2013cites this paper
• A practical investigation into achieving bio-plausibility in evo-devo neural microcircuits feasible in an FPGA

  2013cites this paper
• Red pulsante con aprendizaje hebbiano para clasificación de patrones ralos

  2013influential citation
• A new method for hardware design of Multi-Layer Perceptron neural networks with online training

  2012cites this paper
• Visualising large-scale neural network models in real-time

  2012cites this paper
• Neuromorphic and Brain-Based Robots: Biomimetic robots as scientific models: a view from the whisker tip

  2011influential citation
• Scalable event-driven modelling architectures for neuromimetic hardware

  2011cites this paper
• Autonomously Reconfigurable Artificial Neural Network on a Chip

  2010cites this paper
• A reconfigurable platform for evaluating the performance of QoS networks

  2010cites this paper
• Low-cost hardware implementations for discrete-time spiking neural networks

  2010cites this paper
• Evolving connectionist systems for adaptive decision support with application in ecological data modelling

  2009cites this paper
• Evolving connectionist systems for adaptive decision support with application in ecological data modelling

  2009cites this paper
• Chaos-Based Mixed Signal Implementation of Spiking Neurons

  2009cites this paper
• A neural controller for lane/wall following system

  2008influential citation
• Efficient modelling of spiking neural networks on a scalable chip multiprocessor

  2008cites this paper
• Self-configuring spiking neural networks

  2008cites this paper
• Compact hardware liquid state machines on FPGA for real-time speech recognition

  2008cites this paper
• Compact hardware for real-time speech recognition using a Liquid State Machine

  2007cites this paper
• Rapid prototyping of image analysis algorithms on an adaptive FGPA architecture

  2007cites this paper
• Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach

  2007cites this paper
• A Biologically Inspired FPGA Based Implementation of a Tactile Sensory System for Object Recognition and Texture Discrimination

  2006cites this paper
• 2005 International Conference on Field Programmable Logic and Applications (FPL)

  2005cites this paper
• Mechanoprocessor: modeling the rodent whisker sensory system using FPGA

  2005cites this paper