A novel microchip implementation for an associative neuron group is presented. This microchip is intended for human-like cognitive systems where information is processed via links between distributed representation signal arrays. In this study a microchip containing 8 associative neurons and 128 synaptic connections was realized by 0.35 μm CMOS process. The synaptic weights have been implemented using a customized analog nonvolatile EEPROMs. Measurements show that the presented ideas work and the neuron group is able to associate signal arrays together as intended and the proposed analog EEPROM structure is operating in an accurate and reliable manner even using a standard CMOS technology
International audienceSince memristor came out in 2008, neuromorphic designers investigated the poss...
We present a low energy-barrier magnet based compact hardware unit for analog stochastic neurons (AS...
FPGAs are reconfigurable electronic platforms, well-suited to implement complex artificial neural ne...
A novel microchip implementation for an associative neuron group is presented. This microchip is int...
Heittmann A, Rückert U. Mixed Mode VLSI Implementation of a Neural Associative Memory. Analog Integr...
Heittmann A, Rückert U. Mixed mode VLSI implementation of a neural associative memory. In: Microele...
An ASIC analog chip which implements the basic computational primitives of a neural model with on-ch...
Kaulmann T, Ferber M, Witkowski U, Rückert U. Analog VLSI Implementation of Adaptive Synapses in Pul...
There are several possible hardware implementations of neural networks based either on digital, anal...
We describe and demonstrate the key features of a neu-romorphic, analog VLSI chip (termed F-LANN) ho...
Although data processing technology continues to advance at an astonishing rate, computers with brai...
<div>With the advent of new technologies and advancement in medical science we are trying to process...
Although data processing technology continues to advance at an astonishing rate, computers with brai...
The explosive growth of data and information has motivated technological developments in computing s...
In this paper we describe the VLSI design and testing of a high capacity associative memory which we...
International audienceSince memristor came out in 2008, neuromorphic designers investigated the poss...
We present a low energy-barrier magnet based compact hardware unit for analog stochastic neurons (AS...
FPGAs are reconfigurable electronic platforms, well-suited to implement complex artificial neural ne...
A novel microchip implementation for an associative neuron group is presented. This microchip is int...
Heittmann A, Rückert U. Mixed Mode VLSI Implementation of a Neural Associative Memory. Analog Integr...
Heittmann A, Rückert U. Mixed mode VLSI implementation of a neural associative memory. In: Microele...
An ASIC analog chip which implements the basic computational primitives of a neural model with on-ch...
Kaulmann T, Ferber M, Witkowski U, Rückert U. Analog VLSI Implementation of Adaptive Synapses in Pul...
There are several possible hardware implementations of neural networks based either on digital, anal...
We describe and demonstrate the key features of a neu-romorphic, analog VLSI chip (termed F-LANN) ho...
Although data processing technology continues to advance at an astonishing rate, computers with brai...
<div>With the advent of new technologies and advancement in medical science we are trying to process...
Although data processing technology continues to advance at an astonishing rate, computers with brai...
The explosive growth of data and information has motivated technological developments in computing s...
In this paper we describe the VLSI design and testing of a high capacity associative memory which we...
International audienceSince memristor came out in 2008, neuromorphic designers investigated the poss...
We present a low energy-barrier magnet based compact hardware unit for analog stochastic neurons (AS...
FPGAs are reconfigurable electronic platforms, well-suited to implement complex artificial neural ne...