A Digital Hardware Realization for Spiking Model of Cutaneous Mechanoreceptor
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Title
A Digital Hardware Realization for Spiking Model of Cutaneous Mechanoreceptor
Authors
Keywords
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Journal
Frontiers in Neuroscience
Volume 12, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2018-06-08
DOI
10.3389/fnins.2018.00322
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Note: Only part of the references are listed.- Recognizing tactile surface roughness with a biomimetic fingertip: A soft neuromorphic approach
- (2017) Yi Zhengkun et al. NEUROCOMPUTING
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- (2017) Calogero M. Oddo et al. Scientific Reports
- Bio-inspired Tactile FA-I Spiking Generation under Sinusoidal Stimuli
- (2016) Zhengkun Yi et al. Journal of Bionic Engineering
- Digital hardware implementation of a stochastic two-dimensional neuron model
- (2016) F. Grassia et al. JOURNAL OF PHYSIOLOGY-PARIS
- Digital implementations of thalamocortical neuron models and its application in thalamocortical control using FPGA for Parkinson׳s disease
- (2016) Shuangming Yang et al. NEUROCOMPUTING
- Intraneural stimulation elicits discrimination of textural features by artificial fingertip in intact and amputee humans
- (2016) Calogero Maria Oddo et al. eLife
- Simple Cortical and Thalamic Neuron Models for Digital Arithmetic Circuit Implementation
- (2016) Takuya Nanami et al. Frontiers in Neuroscience
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- A digital implementation of neuron–astrocyte interaction for neuromorphic applications
- (2015) Soheila Nazari et al. NEURAL NETWORKS
- Multiplier-less digital implementation of neuron–astrocyte signalling on FPGA
- (2015) Soheila Nazari et al. NEUROCOMPUTING
- Biomimetic approaches to bionic touch through a peripheral nerve interface
- (2015) Hannes P. Saal et al. NEUROPSYCHOLOGIA
- An analog astrocyte–neuron interaction circuit for neuromorphic applications
- (2015) Mahnaz Ranjbar et al. Journal of Computational Electronics
- Analog implementation of neuron–astrocyte interaction in tripartite synapse
- (2015) Mahnaz Ranjbar et al. Journal of Computational Electronics
- Segregation of Tactile Input Features in Neurons of the Cuneate Nucleus
- (2014) Henrik Jörntell et al. NEURON
- A digital neurmorphic circuit for a simplified model of astrocyte dynamics
- (2014) Soheila Nazari et al. NEUROSCIENCE LETTERS
- Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses
- (2014) S. Raspopovic et al. Science Translational Medicine
- Touch is a team effort: interplay of submodalities in cutaneous sensibility
- (2014) Hannes P. Saal et al. TRENDS IN NEUROSCIENCES
- A novel digital implementation of neuron–astrocyte interactions
- (2014) Soheila Nazari et al. Journal of Computational Electronics
- Computation identifies structural features that govern neuronal firing properties in slowly adapting touch receptors
- (2014) Daine R Lesniak et al. eLife
- A closed-loop neurobotic system for fine touch sensing
- (2013) L L Bologna et al. Journal of Neural Engineering
- Spatial and temporal codes mediate the tactile perception of natural textures
- (2013) A. I. Weber et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Real-time biomimetic Central Pattern Generators in an FPGA for hybrid experiments
- (2013) Matthieu Ambroise et al. Frontiers in Neuroscience
- Force sensor in simulated skin and neural model mimic tactile SAI afferent spiking response to ramp and hold stimuli
- (2012) Elmer K Kim et al. Journal of NeuroEngineering and Rehabilitation
- A review of tactile sensing technologies with applications in biomedical engineering
- (2012) Mohsin I. Tiwana et al. SENSORS AND ACTUATORS A-PHYSICAL
- Does Afferent Heterogeneity Matter in Conveying Tactile Feedback Through Peripheral Nerve Stimulation?
- (2011) Sung Soo Kim et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Encoding/decoding of first and second order tactile afferents in a neurorobotic application
- (2011) Luca Leonardo Bologna et al. JOURNAL OF PHYSIOLOGY-PARIS
- Roughness Encoding in Human and Biomimetic Artificial Touch: Spatiotemporal Frequency Modulation and Structural Anisotropy of Fingerprints
- (2011) Calogero Maria Oddo et al. SENSORS
- Human Ability to Discriminate Direction of Three-Dimensional Force Stimuli Applied to the Finger Pad
- (2010) Alessandro Panarese et al. JOURNAL OF NEUROPHYSIOLOGY
- Artificial neural networks in hardware: A survey of two decades of progress
- (2010) Janardan Misra et al. NEUROCOMPUTING
- Conveying Tactile Feedback in Sensorized Hand Neuroprostheses Using a Biofidelic Model of Mechanotransduction
- (2009) Sung Soo Kim et al. IEEE Transactions on Biomedical Circuits and Systems
- Slowly Adapting Mechanoreceptors in the Borders of the Human Fingernail Encode Fingertip Forces
- (2009) I. Birznieks et al. JOURNAL OF NEUROSCIENCE
- The Representation of Stimulus Orientation in the Early Stages of Somatosensory Processing
- (2008) S. J. Bensmaia et al. JOURNAL OF NEUROSCIENCE
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