Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
We present an array of Mihalas-Niebur neurons with dynamically reconfigurable synapses implemented in 0.5 μm CMOS technology optimized for low-power, low-mismatch, and high-density. This neural array has two modes of operation: one is each cell in the array operates as independent leaky integrate-and-fire neurons, and the second is two cells work together to model the Mihalas-Niebur neuron dynamics...
In this paper, implementation of memristive neural network with full-function Pavlov associative memory is designed based on a proposed associative memory rule. The designed neural network can well perform the Pavlov associative memory in the network with at least three interconnected neurons. This neural network and the associative memory rule that is partly based on spike-rate-dependent plasticity...
This paper describes the fabrication and characterization process used to develop memristors that are strong candidates for use in neuromorphic systems. A common approach for the development of memristor-based neuromorphic circuits is to store synaptic weight values within memristors as resistance values. This requires use of the continuous resistance range available in the memristors to store the...
Neuron is the basic entity that transmits and process information through generated action potential or spikes in neuromorphic systems. In real scenario there is no fixed threshold in the cortical neuron but it varies for every neuron. In this work, the neuron with threshold modulation capability is implemented in analog VLSI using CMOS technology. The proposed neuron circuit generated time varying...
This paper introduces a memristor-based neuronal spike event generator, in which the memristor models the nonlinear behavior of opening and closing of sodium and potassium ion channels. The neuronal action potential describing both the integrate-and-fire spiking events and the refractory period of nerve membrane cells is enabled by utilizing dual time-constants offered by the bistable resistance state...
This research investigates a novel data reduction scheme using adaptive leaky refractory integrate-and-fire (ALRIF) neurons to generate pulses for an implanted neural recording system in wireless transmission applications. The wireless implanted multi-channel recording system imposes many constraints on the system but the major constraint is on low bandwidth. Other constraints including low bandwidth...
This paper discusses the implications of noises in a pulse-density modulation single-electron circuit based on vestibulo-ocular reflex model. The proposed circuit consists of an ensemble of single-electron integrate-and-fire neurons that encode the input voltage into pulses whose temporal density is proportional to the amplitude of the input. We confirmed that static noises (heterogeneity in circuit...
We have developed an adaptively biased integrate and fire (I&F) circuit to reduce the power consumption of our ADC replacement approach. Unlike conventional circuits this I&F consumes no standby power. Power consumed is input signal dependent and increases exponentially as the input approaches the set threshold value. We describe the circuit model and present an intuitive as well as mathematical...
As the basic unit of cell neural network (CNN), neuron has been the focus of the research of CNN. This paper introduces a modeling method of neuron that is based on single electron transistor (SET). SET is a kind of nano electronic device, which has come to be considered candidate as the basic element for future low power, high density integrated circuits, and the quantum effect of SET shows two basic...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.