Search Results - "Hoppensteadt, Frank"

Spin-wave interference patterns created by spin-torque nano-oscillators for memory and computation by Macià, Ferran, Kent, Andrew D, Hoppensteadt, Frank C

“…Magnetization dynamics in nanomagnets has attracted broad interest since it was predicted that a dc current flowing through a thin magnetic layer can create…”
Get more information

Heterogeneity in oscillator networks: are smaller worlds easier to synchronize? by Nishikawa, Takashi, Motter, Adilson E, Lai, Ying-Cheng, Hoppensteadt, Frank C

“…Small-world and scale-free networks are known to be more easily synchronized than regular lattices, which is usually attributed to the smaller network distance…”
Get full text

Bursts as a unit of neural information: selective communication via resonance by Izhikevich, Eugene M., Desai, Niraj S., Walcott, Elisabeth C., Hoppensteadt, Frank C.

“…What is the functional significance of generating a burst of spikes, as opposed to a single spike? A dominant point of view is that bursts are needed to…”
Get full text

Pattern recognition via synchronization in phase-locked loop neural networks by Hoppensteadt, F.C., Izhikevich, E.M.

“…We propose a novel architecture of an oscillatory neural network that consists of phase-locked loop (PLL) circuits. It stores and retrieves complex oscillatory…”
Get full text

Unfolding an electronic integrate-and-fire circuit by Carrillo, Humberto, Hoppensteadt, Frank

“…Many physical and biological phenomena involve accumulation and discharge processes that can occur on significantly different time scales. Models of these…”
Get full text

Capacity of oscillatory associative-memory networks with error-free retrieval by Nishikawa, Takashi, Lai, Ying-Cheng, Hoppensteadt, Frank C

“…Networks of coupled periodic oscillators (similar to the Kuramoto model) have been proposed as models of associative memory. However, error-free retrieval…”
Get full text

Applied physics: A new spin on nanoscale computing by Hoppensteadt, Frank

Get full text

A new spin on nanoscale computing by Hoppensteadt, Frank

“…A nanoscale magnetic device that mimics the behaviour of neurons has been used to recognize audio signals. Such a device could be adapted to tackle tasks with…”
Get full text

Synchronization of MEMS resonators and mechanical neurocomputing by Hoppensteadt, F.C., Izhikevich, E.M.

“…We combine here two well-known and established concepts: microelectromechanical systems (MEMS) and neurocomputing. First, we consider MEMS oscillators having…”
Get full text

Oscillatory associative memory network with perfect retrieval by Nishikawa, Takashi, Hoppensteadt, Frank C., Lai, Ying-Cheng

“…Inspired by the discovery of possible roles of synchronization of oscillations in the brain, networks of coupled phase oscillators have been proposed before as…”
Get full text

Cooperation of spike timing-dependent and heterosynaptic plasticities in neural networks: a Fokker-Planck approach by Zhu, Liqiang, Lai, Ying-Cheng, Hoppensteadt, Frank C, He, Jiping

“…It is believed that both Hebbian and homeostatic mechanisms are essential in neural learning. While Hebbian plasticity selectively modifies synaptic…”
Get more information

Spin torque oscillator neuroanalog of von Neumann's microwave computer by Hoppensteadt, Frank

“…Frequency and phase of neural activity play important roles in the behaving brain. The emerging understanding of these roles has been informed by the design of…”
Get full text

Probing changes in neural interaction during adaptation by Zhu, Liqiang, Lai, Ying-Cheng, Hoppensteadt, Frank C, He, Jiping

“…A procedure is developed to probe the changes in the functional interactions among neurons in primary motor cortex of the monkey brain during adaptation. A…”
Get more information

A theory of epineuronal memory by Borisyuk, Roman, Hoppensteadt, Frank

“…How can a brain maintain stable memories and behaviors when its underlying electrical and chemical structures are constantly changing? We investigate this…”
Get full text

Heuristics for the Hodgkin–Huxley system by Hoppensteadt, Frank

“…Hodgkin and Huxley (HH) discovered that voltages control ionic currents in nerve membranes. This led them to describe electrical activity in a neuronal…”
Get full text

Slowly Coupled Oscillators: Phase Dynamics and Synchronization by Izhikevich, Eugene M., Hoppensteadt, Frank C.

“…In this paper we extend the results of Frankel and Kiemel [SIAM J. Appl Math, 53 (1993), pp. 1436-1446] to a network of slowly coupled oscillators. First, we…”
Get full text

Smallest small-world network by Nishikawa, Takashi, Motter, Adilson E, Lai, Ying-Cheng, Hoppensteadt, Frank C

“…Efficiency in passage times is an important issue in designing networks, such as transportation or computer networks. The small-world networks have structures…”
Get full text

Heuristics for the HodgkinaHuxley system by Hoppensteadt, Frank

“…Hodgkin and Huxley (HH) discovered that voltages control ionic currents in nerve membranes. This led them to describe electrical activity in a neuronal…”
Get full text

Numerical and experimental investigation of the effect of filtering on chaotic symbolic dynamics by Zhu, Liqiang, Lai, Ying-Cheng, Hoppensteadt, Frank C, Bollt, Erik M

“…Motivated by the practical consideration of the measurement of chaotic signals in experiments or the transmission of these signals through a physical medium,…”
Get more information

System of Phase Oscillators with Diagonalizable Interaction by Takashi Nishikawa, Hoppensteadt, Frank C.

“…We consider a system of N phase oscillators having randomly distributed natural frequencies and diagonalizable interactions among the oscillators. We show…”
Get full text