Neuromorphic Engineering
Recent trends in neuromorphic engineering
... to neuromorphic datasets, that not only maintains their compatibility with existing vision systems for benchmarking performance, but also involves “creation of information” which is required for realizing the true ...
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Computation of Silicon Neuron and Synapse: Neuromorphic Analog VLSI Systems
... Neuromorphic engineering is a discipline characterized by two main goals. Firstly to understand the computational properties of biological neural systems using standard CMOS VLSI technology as a tool. And ...
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Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach
... propagate the information. This ”time-buffered” architecture allows to run real-time experiments for speech recognition and audio samples classification with a previous step of training the network with static audio ...
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Neuromorphic audio processing through real-time embedded spiking neural networks.
... Neuromorphic engineering is a discipline that studies, designs and implements hardware and software that mimic the way in which nervous systems work, focusing its main inspiration in how the brain solves ...
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Neuromorphic deep convolutional neural network learning systems for FPGA in real time
... in neuromorphic engineering, there are several memory topologies focused on improving the performance of spiking systems in order to increase the number of neurons and synapses (Indiveri and Liu, ...
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TiO2 based nanostructured memristor for RRAM and neuromorphic applications: a simulation approach
... shows the difference between two nonlinear window functions with various values of control parameter ‘p’. The results suggested that the proposed window func- tion scaled up to f(x) = 1 at higher magnitude of con- trol ...
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Neuromorphic crossbar circuit with nanoscale filamentary switching binary memristors for speech recognition
... in available materials and need a complicated fabrication process, binary memristors which are based on the filamentary-switching mechanism are found more popu- larly and easy to be fabricated. Thus, we developed the ...
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High Fill Factor Imagers for Neuromorphic Processing Enabled by Floating Gate Circuits
... In neuromorphic modeling of the retina, it would be very nice to have processing capabilities at the focal plane while retaining the density of typical active pixel sensor (APS) imager ...
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Transport Properties of Disordered Nanowire Networks: from Conducting Thin Films to Neuromorphic Applications
... . The lay- out of this chapter is as follows: experimental evidence for a memristive response of individual nanowire junctions, and a global memristive response of a NWN is presented in section 5 . 1 . An empirical model ...
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Associative Enhancement of Time Correlated Response to Heterogeneous Stimuli in a Neuromorphic Nanowire Device
... increases with the number of coincident pulses and demonstrates an associative memory response, which is not observed following uncorrelated voltage and optical pulses.. b Schematic ener[r] ...
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Integrated 2-D Optical Flow Sensor
... index: visual motion perception, 2-D optical flow, constraint optimization, gradient descent, aVLSI, analog network, collective computation, neuromorphic, feedback, non- linear smoothing[r] ...
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Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications
... The TrueNorth prototype was created in 2011 [87], and it was a neurosynaptic core with 256 digital leaky integrate-and-fire neurons [37] and up to 256,000 synapses. The core is composed of memory and processor, and the ...
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2019 Annual Report of the Nanoelectronics and Gigascale Systems Technical Committee IEEE Circuits and Systems Society
... B. Hudec, C.-C. Chang, and T.-H. Hou, "Memristive devices by ALD: design aspects for high density 3D arrays for memory and neuromorphic applications," International Conference on Solid-State and ...
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Haptic glove and platform with gestural control for neuromorphic tactile sensory feedback in medical telepresence
... The impact of haptic devices has tremendously grown over the last decade [1,2]. Contributions from diverse research fields are fueling the study of human sense of touch, such as measurement and instrumentation, ...
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Controlled propagation of spiking dynamics in vertical-cavity surface-emitting lasers : towards neuromorphic photonic networks
... Neuromorphic photonics has recently emerged offering great prospects for novel neuronal models operating at ultrafast speeds, up to 9 orders of magnitude faster than biological neurons. This paves radically new ...
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Engineering Others, Engineering Ourselves:
... Robinson's Mars Trilogy projects a future history of human colonization and transformation of Mars, including extensive scientific attention to re-engineering the planet's atmosphere. Simultaneously humans are ...
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Engineering In the College of Engineering
... All students must satisfy the general requirements for admission to the Division of Graduate Affairs with classified graduate standing as described in Part Two of this bulletin. Candidates must have attained an ...
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Mechatronic simulation & exploration of a mechanical context relevant to quadrupedal neuromorphic walking employing Nervous networks for control : a thesis presented in partial fulfilment of the requirements for the degree of Master of Engineering, Mechatronics at Massey University, Albany, New Zealand
... and provided significant evidence to suggest that the identified critical point phenomena is useful in producing parameters for near optimal robotic gaits for low frequenc y walking in t[r] ...
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Mechatronic simulation & exploration of a mechanical context relevant to quadrupedal neuromorphic walking employing Nervous networks for control : a thesis presented in partial fulfilment of the requirements for the degree of Master of Engineering, Mechatronics at Massey University, Albany, New Zealand
... The physical dynamics of the mechanical context in which a controller is embedded thus has the potential to exhibit significant influence on the overall behaviour of the robot, justifyin[r] ...
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