منابع مشابه
Neuromorphic Silicon Neuron Circuits
Hardware implementations of spiking neurons can be extremely useful for a large variety of applications, ranging from high-speed modeling of large-scale neural systems to real-time behaving systems, to bidirectional brain-machine interfaces. The specific circuit solutions used to implement silicon neurons depend on the application requirements. In this paper we describe the most common building...
متن کاملNeuromorphic architectures for nanoelectronic circuits
This paper reviews recent important results in the development of neuromorphic network architectures (‘CrossNets’) for future hybrid semiconductor=nanodevice-integrated circuits. In particular, we have shown that despite the hardware-imposed limitations, a simple weight import procedure allows the CrossNets using simple two-terminal nanodevices to perform functions (such as image recognition an...
متن کاملNeuromorphic log-domain silicon synapse circuits obey bernoulli dynamics: a unifying tutorial analysis
The field of neuromorphic silicon synapse circuits is revisited and a parsimonious mathematical framework able to describe the dynamics of this class of log-domain circuits in the aggregate and in a systematic manner is proposed. Starting from the Bernoulli Cell Formalism (BCF), originally formulated for the modular synthesis and analysis of externally linear, time-invariant logarithmic filters...
متن کاملImplementing robust neuromodulation in neuromorphic circuits
We introduce a methodology to implement the physiological transition between distinct neuronal spiking modes in electronic circuits composed of resistors, capacitors and transistors. The result is a simple neuromorphic device organized by the same geometry and exhibiting the same input–output properties as high-dimensional electrophysiological neuron models. Preliminary experimental results hig...
متن کاملCMOL CrossNets: Possible Neuromorphic Nanoelectronic Circuits
Hybrid “CMOL” integrated circuits, combining CMOS subsystem with nanowire crossbars and simple two-terminal nanodevices, promise to extend the exponential Moore-Law development of microelectronics into the sub-10-nm range. We are developing neuromorphic network (“CrossNet”) architectures for this future technology, in which neural cell bodies are implemented in CMOS, nanowires are used as axons...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2011
ISSN: 1662-4548
DOI: 10.3389/fnins.2011.00073