Embodied neuromorphic intelligence
The design of robots that interact autonomously with the environment and exhibit complex
behaviours is an open challenge that can benefit from understanding what makes living …
behaviours is an open challenge that can benefit from understanding what makes living …
Letting structure emerge: connectionist and dynamical systems approaches to cognition
Connectionist and dynamical systems approaches explain human thought, language and
behavior in terms of the emergent consequences of a large number of simple noncognitive …
behavior in terms of the emergent consequences of a large number of simple noncognitive …
The importance of space and time for signal processing in neuromorphic agents: the challenge of develo** low-power, autonomous agents that interact with the …
G Indiveri, Y Sandamirskaya - IEEE Signal Processing …, 2019 - ieeexplore.ieee.org
Artificial neural networks (ANNs) and computational neuroscience models have made
tremendous progress, enabling us to achieve impressive results in artificial intelligence …
tremendous progress, enabling us to achieve impressive results in artificial intelligence …
[HTML][HTML] Impact of quantum and neuromorphic computing on biomolecular simulations: Current status and perspectives
New high-performance computing architectures are becoming operative, in addition to
exascale computers. Quantum computers (QC) solve optimization problems with …
exascale computers. Quantum computers (QC) solve optimization problems with …
An on-chip spiking neural network for estimation of the head pose of the iCub robot
In this work, we present a neuromorphic architecture for head pose estimation and scene
representation for the humanoid iCub robot. The spiking neuronal network is fully realized in …
representation for the humanoid iCub robot. The spiking neuronal network is fully realized in …
Event-based computation for touch localization based on precise spike timing
Precise spike timing and temporal coding are used extensively within the nervous system of
insects and in the sensory periphery of higher order animals. However, conventional …
insects and in the sensory periphery of higher order animals. However, conventional …
A hardware-friendly real-time implementation of the auditory attention based on a novel spiking winner-take-all network
In recent decades, the modeling and designing of neuromorphic systems have received
considerable attention, leading to the development of electrophysiological devices that can …
considerable attention, leading to the development of electrophysiological devices that can …
Neuromorphic Implementation of a Continuous Attractor Neural Network With Various Synaptic Dynamics
H You, K Zhao - IEEE Access, 2021 - ieeexplore.ieee.org
A continuous attractor neural network (CANN) configured with various synaptic dynamics
can implement many brain cognitive functions. Corresponding neuromorphic …
can implement many brain cognitive functions. Corresponding neuromorphic …
An On-chip Spiking Neural Network for Estimation of the Head Pose of the iCub Robot
C Bartolozzi, A Glover… - … Engineering Systems and …, 2021 - books.google.com
In this work, we present a neuromorphic architecture for head pose estimation and scene
representation for the humanoid iCub robot. The spiking neuronal network is fully realized in …
representation for the humanoid iCub robot. The spiking neuronal network is fully realized in …
[PDF][PDF] A COMPREHENSIVE STUDY OF NEURAL NETWORK ARCHITECTURE AND FUNCTIONALITY
P Shilpa Mehta, D Academics - Neural etworks N - researchgate.net
Neural networks are a type of machine learning algorithm inspired by the structure and
function of the human brain. They consist of interconnected nodes, or neurons, organized …
function of the human brain. They consist of interconnected nodes, or neurons, organized …