Saeed Afshar | DeepAI

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∙ 07/06/2023

A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations

Reinforcement Learning (RL) provides a powerful framework for decision-m...

0 Sergio F. Chevtchenko, et al. ∙

∙ 05/31/2023

Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA

This paper presents an efficient hardware implementation of the recently...

0 Ali Mehrabi, et al. ∙

∙ 04/27/2023

Density Invariant Contrast Maximization for Neuromorphic Earth Observations

Contrast maximization (CMax) techniques are widely used in event-based v...

0 Sami Arja, et al. ∙

∙ 12/14/2022

Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea Model

This paper presents a reconfigurable digital implementation of an event-...

0 Ying Xu, et al. ∙

∙ 09/27/2021

An optimised deep spiking neural network architecture without gradients

We present an end-to-end trainable modular event-driven neural architect...

12 Yeshwanth Bethi, et al. ∙

∙ 11/20/2019

Event-based Object Detection and Tracking for Space Situational Awareness

In this work, we present optical space imaging using an unconventional y...

15 Saeed Afshar, et al. ∙

∙ 07/18/2019

Event-based Feature Extraction Using Adaptive Selection Thresholds

Unsupervised feature extraction algorithms form one of the most importan...

3 Saeed Afshar, et al. ∙

∙ 03/14/2016

Investigation of event-based memory surfaces for high-speed tracking, unsupervised feature extraction and object recognition

In this paper we compare event-based decaying and time based-decaying me...

0 Saeed Afshar, et al. ∙

∙ 05/11/2015

An Online Learning Algorithm for Neuromorphic Hardware Implementation

We propose a sign-based online learning (SOL) algorithm for a neuromorph...

0 Chetan Singh Thakur, et al. ∙

∙ 08/06/2014

Racing to Learn: Statistical Inference and Learning in a Single Spiking Neuron with Adaptive Kernels

This paper describes the Synapto-dendritic Kernel Adapting Neuron (SKAN)...

0 Saeed Afshar, et al. ∙

∙ 06/13/2013

The Ripple Pond: Enabling Spiking Networks to See

In this paper we present the biologically inspired Ripple Pond Network (...

0 Saeed Afshar, et al. ∙

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