Search · four archives
Search · four archives
25 papers · ranked by Valyu relevance
Giacomo Indiveri, B. Linares-Barranco, Robert Legenstein, G. Deligeorgis + 1 more
'G. Deligeorgis' 'Themistoklis Prodromakis'] Abstract. Conventional neuro-computing architectures and artificial neural networks have often been developed with no or loose connections to neuroscience. As a consequence, they have largely ignored key features of biological neural processing systems, such as their…
Elisabetta Chicca, Fabio Stefanini, Chiara Bartolozzi, Giacomo Indiveri
'Giacomo Indiveri'] Abstract—Several analog and digital brain-inspired electronic systems have been recently proposed as dedicated solutions for fast simulations of spiking neural networks. While these architectures are useful for exploring the computational properties of large-scale models of the nervous system, the…
Margot Wagner, Thomas M. Bartol, Terrence J. Sejnowski, Gert Cauwenberghs
Progress in computational neuroscience towards understanding brain function is challenged both by the complexity of molecular-scale electrochemical interactions at the level of individual neurons and synapses, and the dimensionality of network dynamics across the brain covering a vast range of spatial and temporal…
Konstantinos I. Papadimitriou, Guy-Bart V. Stan, Emmanuel M. Drakakis, Alena Talkachova
'Alena Talkachova'] This paper presents a novel method for the systematic implementation of low-power microelectronic circuits aimed at computing nonlinear cellular and molecular dynamics. The method proposed is based on the Nonlinear Bernoulli Cell Formalism (NBCF), an advanced mathematical framework stemming from the…
Viktor Janos Olah, Nigel P Pedersen, Matthew JM Rowan
Understanding the activity of the mammalian brain requires an integrative knowledge of circuits at distinct scales, ranging from ion channel time constants to synaptic connection probabilities. To understand how multiple parameters contribute synergistically to circuit behavior as a whole, neuronal computational models…
Fatemeh Hadaeghi
This chapter provides a comprehensive survey of the researches and motivations for hardware implementation of reservoir computing (RC) on neuromorphic electronic systems. Due to its computational efficiency and the fact that training amounts to a simple linear regression, both spiking and non-spiking implementations of…
Zachary Laswick, Xihu Wu, Abhijith Surendran, Zhongliang Zhou + 4 more
'Xudong Ji' 'Giovanni Maria Matrone' 'Wei Lin Leong' 'Jonathan Rivnay'] Increasing demand for bio-interfaced human-machine interfaces propels the development of organic neuromorphic electronics with small form factors leveraging both ionic and electronic processes. Ion-based organic electrochemical transistors (OECTs)…
Viktor J Oláh, Nigel P Pedersen, Matthew JM Rowan, Upinder Singh Bhalla + 1 more
'Upinder Singh Bhalla' 'Joshua I Gold'] Understanding the activity of the mammalian brain requires an integrative knowledge of circuits at distinct scales, ranging from ion channel gating to circuit connectomics. Computational models are regularly employed to understand how multiple parameters contribute…
Ian Cone, Harel Z Shouval, Tatyana O Sharpee, Ronald L Calabrese
Multiple brain regions are able to learn and express temporal sequences, and this functionality is an essential component of learning and memory. We propose a substrate for such representations via a network model that learns and recalls discrete sequences of variable order and duration. The model consists of a network…
Nikhil X Bhattasali, Lerrel Pinto, Grace W Lindsay
Rhythmic neural activity underlies essential biological functions such as locomotion, breathing, and feeding. Computational models are widely used to study how such rhythms emerge from interactions between neuron-level and circuit-level dynamics. Intrinsically bursting neurons are key components of many central pattern…
Hamid Soleimani, Emmanuel M. Drakakis
It has always been a challenge in neuromorphic field to systematically translate biological models into analog electronic circuitry. In this paper, a generalized circuit design platform is introduced where biological models can be conveniently implemented using CMOS circuitry operating in strong–inversion. The…
Jeff Jones, James G. H. Whiting, Andrew Adamatzky
Computing devices are composed of spatial arrangements of simple fundamental logic gates. These gates may be combined to form more complex adding circuits and, ultimately, complete computer systems. Implementing classical adding circuits using unconventional, or even living substrates such as slime mould Physarum…
Deepak K. Agrawal, Sagar D. Khare, Eduardo D Sontag
An important goal of synthetic biology is to build biosensors and circuits with well-defined input-output relationships that operate at speeds found in natural biological systems. However, for molecular computation, most commonly used genetic circuit elements typically involve several steps from input detection to…
Gerd HG Moe-Behrens
Systemics, a revolutionary paradigm shift in scientific thinking, with applications in systems biology, and synthetic biology, have led to the idea of using silicon computers and their engineering principles as a blueprint for the engineering of a similar machine made from biological parts. Here we describe these…
Felipe A. Millacura, Brendan Largey, Christopher French
In vivo logic gates have proven difficult to combine into larger devices. Our cell-based logic system, BioLogic, decomposes a large circuit into a collection of small subcircuits working in parallel, each subcircuit responding to a different combination of inputs. A final global output is then generated by combination…
Lulu Qian, Erik Winfree
The prospects of programming molecular systems to perform complex autonomous tasks have motivated research into the design of synthetic biochemical circuits. Of particular interest to us are cell-free nucleic acid systems that exploit non-covalent hybridization and strand displacement reactions to create cascades that…
Frank Britto Bisso, Durga Shree, Yinan Zhu, Christian Cuba Samaniego
Cells have evolved to sense a wide range of input combinations and integrate those signals through signaling pathways to produce context-specific responses, such as differentiation, cell-type specification, and patterning. To replicate this information-processing capacity, synthetic biology has developed large-scale…
Miha Moškon, Žiga Pušnik, Lidija Magdevska, Nikolaj Zimic + 1 more
Basic synthetic information processing structures, such as logic gates, oscillators and flip-flops, have already been implemented in living organisms. Current implementations of these structures are, however, hardly scalable and are yet to be extended to more complex processing structures that would constitute a…
Authors not listed
For the first time a printable, miniaturized and gate-controlled electrochemical capacitor-diode (G-CAPode) is presented. The heart of the device consists of a recently developed asymmetric electrical double-layer capacitor system based on selective, size-depended ion adsorption. Due to the introduction of a sieving…
Zack Booth Simpson, Timothy L. Tsai, Nam Nguyen, Xi Chen + 1 more
'Andrew D. Ellington'] The power of electronic computation is due in part to the development of modular gate structures that can be coupled to carry out sophisticated logical operations and whose performance can be readily modelled. However, the equivalences between electronic and biochemical operations are far from…
Authors not listed
Iontronics can improve soft robotics, like wearable devices and environmental sensors, by replacing rigid electronics with viscoelastic materials that mimic biological tissue. Circuit components, including diodes, transistors, and power sources, have been fabricated with soft materials that utilize ionic current.…
Tomoya Maruyama, Jing Gong, Masahiro Takinoue
Bio-soft matter droplets formed via liquid-liquid phase separation (LLPS) of biopolymers have been found in living cells. Synthetic LLPS droplets have recently been employed in nanobiotechnology for artificial cell construction, molecular robotics, molecular computing, diagnosis, and therapeutics. Controlling the…
Authors not listed
Molecular systems capable of directing the flow of excitons are key to the development and optimization of optoelectronic materials. The transport of excitons across multiple molecules is governed by the intermolecular electronic coupling network. In this manuscript, we consider the effects of complex-valued…
Esmaeil Farajpour Bonab, Adam Jaros, Zahra Badri, Lucie Tučková + 2 more
Here, we propose and provide in silico proof of concept of a spinristor; a new molecular electronic component that combines a spin-filter, a rectifier, and a switch, in a single molecule for in-memory processing. It builds on the idea of an open-shell transition metal ion enclosed within an elliptical fullerene…
Anna Matuszyńska, Oliver Ebenhöh, Matias D. Zurbriggen, Daniel C. Ducat + 1 more
Synthetic biology designs and constructs new biological parts, devices and systems with predetermined functionalities. With the unlimited ability to synthesise any DNA and RNA and transfer it to almost any organism, we are at the dawn of a new era in which biology is being recreated in ways never before possible. It…