Article
Materials Science, Multidisciplinary
Vanessa Tischler, Piotr Dudek, Jayawan Wijekoon, Leszek A. Majewski, Yasunori Takeda, Shizuo Tokito, Michael L. Turner
Summary: This paper reports the fabrication of a simple neuromorphic circuit using solution-processed organic field-effect transistors (OFETs). The circuit has predictable behavior and allows for customized design, providing the basis for various flexible neuromorphic circuit designs.
ORGANIC ELECTRONICS
(2023)
Article
Physics, Applied
Namita Bindal, Ravish Kumar Raj, Brajesh Kumar Kaushik
Summary: This paper proposes a neuron device based on AFM skyrmions, which exhibits the leaky-integrate-fire functionality. By utilizing current-driven skyrmion dynamics on shape-configured nanotracks, high-speed and energy-efficient neuromorphic computing can be achieved.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2022)
Article
Engineering, Electrical & Electronic
Elena Adomaitiene, Steponas Asmontas, Skaidra Bumeliene, Arunas Tamasevicius
Summary: The I&F electronic neuron model generates short spikes, can be stabilized by feedback, inhibits spikes with high frequency action, and can synchronize when coupled units.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2021)
Article
Mathematics, Applied
Petr Lansky, Federico Polito, Laura Sacerdote
Summary: This paper investigates interspike intervals in neuronal output and discusses how to achieve consistent output through mathematical characterization.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Physics, Multidisciplinary
JunHyuk Woo, Soon Ho Kim, Kyungreem Han, MooYoung Choi
Summary: The integrate-and-fire model is widely used in neuromorphic computing and artificial neural network algorithms. This study characterizes the dynamics and information processing of IF models through computer simulations and information-theoretic approaches, showing the importance of neural coding efficiency and dynamics in neural networks.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2021)
Article
Engineering, Electrical & Electronic
Namita Bindal, Ravish Kumar Raj, Brajesh Kumar Kaushik
Summary: Antiferromagnetic (AFM) skyrmion technology is considered a promising direction for the development of the next-generation spintronics-based neuromorphic computing due to its unique features. In this study, a neuron device based on AFM skyrmion is proposed, which demonstrates integrate fire functionality and generates an output signal on a nanotrack. The proposed device offers a 68% reduction in energy dissipation when the number of skyrmions on the nanotrack is increased from 1 to 3.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2023)
Article
Physics, Applied
Mohammad Javad Mirshojaeian Hosseini, Elisa Donati, Tomoyuki Yokota, Sunghoon Lee, Giacomo Indiveri, Takao Someya, Robert A. Nawrocki
Summary: Organic electronics have been used to implement an Integrate-and-Fire spiking neuron based on the Axon-Hillock CMOS circuit, demonstrating bio-compatibility and flexibility. This study showcases the operation characteristics and computing capabilities of the organic neuromorphic circuit, with low power dissipation.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2021)
Article
Chemistry, Analytical
Taegoon Lee, Seung-Bae Jeon, Daewon Kim
Summary: A novel vertical nanowire single transistor neuron device with inhibitory function and tunable firing threshold voltage was realized by TCAD simulation. The device has a core-shell dual-gate structure, with independently accessed shell gate and core gate for excitatory-inhibitory transition and threshold voltage adjustment. It has great practical value and potential applications.
Article
Neurosciences
Young-Soo Park, Sola Woo, Doohyeok Lim, Kyoungah Cho, Sangsig Kim
Summary: This study introduces an integrate-and-fire neuron circuit using a PNPN diode, operating without external bias voltages with low energy consumption and high energy efficiency. The presented circuit outperforms those constructed only with MOSFETs in terms of structural simplicity, number of external bias lines, and energy efficiency. Additionally, despite the reduced number of components and absence of external bias lines, the circuit can control the firing frequency through the amplitude and time width of synaptic pulses.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Computer Science, Hardware & Architecture
Jani Babu Shaik, Siona Menezes Picardo, Sonal Singhal, Nilesh Goel
Summary: This study focuses on the impact of reliability issues on the performance of neuromorphic circuits and proposes novel reliability-aware designs to address these issues.
INTEGRATION-THE VLSI JOURNAL
(2024)
Article
Computer Science, Information Systems
Arati Kumari Shah, Eou-Sik Cho, Jisun Park, Hyungsoon Shin, Seongjae Cho
Summary: In this study, a compact CMOS integrate-and-fire (I&F) neuron circuit with an operational transconductance amplifier (OTA) is designed. The OTA block ensures stability in I&F functions even at high-frequency operation. The designed circuit allows control of firing frequency by adjusting the synaptic pulse, resulting in high fidelity. Circuit simulations validate the functionality, and temperature dependence is investigated for robustness.
Article
Engineering, Electrical & Electronic
Ashvinikumar Dongre, Gaurav Trivedi
Summary: This article introduces a self-resetting Integrate and Fire (I&F) neuron circuit based on Resistive Random Access Memory (RRAM). The circuit does not require any external bias voltage, and the integration of control unit into the neuron circuit optimizes its overall power consumption. The circuit consists of two RRAMs for integrate and fire operations, and a pulse propagation and reset circuit with 22 CMOS transistors. It consumes 1.5 fJ per spike, which is 48% and 53% less than recent neurons designed using nanoscale FBFET and PDSOI-MOSFET, respectively. The proposed neuron operates at frequencies ranging from 277 KHz to 03 MHz, at least 7.5% and 10% higher than the operating frequencies of the mentioned recent neurons, respectively. The inclusion of a reset circuit enables the implementation of large scale spiking neural networks (SNN), making it superior in terms of power and energy consumption.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Engineering, Electrical & Electronic
Sung Yun Woo, Won-Mook Kang, Young-Tak Seo, Soochang Lee, Dongseok Kwon, Seongbin Oh, Jong-Ho Bae, Jong-Ho Lee
Summary: The fabricated IF neuron circuit successfully implements IF function and reset operation, with a linear increase in firing rate as tpulse increases. For suppression of GIDL, the voltage level shifter circuit includes MOSFETs with LDD doping.
SOLID-STATE ELECTRONICS
(2022)
Article
Biochemical Research Methods
Chu-Yu Cheng, Chung-Chin Lu
Summary: This study focuses on the phase shift between input and output signals, and introduces a new concept called the agility of a neuron to describe how fast a neuron can respond to a periodic input signal. By deriving three agility score functions for different neuron models, the study is able to characterize the response capability of neurons to different frequencies of input signals, allowing for normalization and comparison of neuron models.
JOURNAL OF COMPUTATIONAL BIOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Akira Goda, Chihiro Matsui, Ken Takeuchi
Summary: An analytical model for stochastic leaky-integrate-and-fire neurons with floating gate technology has been developed. The study explores the stochastic behaviors and population coding of these neurons. It is found that the shape of the inter spike interval distribution can be controlled, improving the population output signal-to-noise ratio and enabling fast computation.
IEEE JOURNAL OF THE ELECTRON DEVICES SOCIETY
(2022)
Article
Multidisciplinary Sciences
Gabriela Mochol, Ainhoa Hermoso-Mendizabal, Shuzo Sakata, Kenneth D. Harris, Jaime de la Rocha
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2015)
Article
Multidisciplinary Sciences
Klaus Wimmer, Albert Compte, Alex Roxin, Diogo Peixoto, Alfonso Renart, Jaime de la Rocha
NATURE COMMUNICATIONS
(2015)
Article
Biology
Daniel Jercog, Alex Roxin, Peter Bertho, Artur Luczak, Albert Compte, Jaime de la Rocha
Article
Audiology & Speech-Language Pathology
Kenneth D. Harris, Peter Bartho, Paul Chadderton, Carina Curto, Jaime de la Rocha, Liad Hollender, Vladimir Itskov, Artur Luczak, Stephan L. Marguet, Alfonso Renart, Shuzo Sakata
Article
Neurosciences
Jaime de la Rocha, Cristina Marchetti, Max Schiff, Alex D. Reyes
JOURNAL OF NEUROSCIENCE
(2008)
Article
Computer Science, Artificial Intelligence
Kresimir Josic, Eric Shea-Brown, Brent Doiron, Jaime de la Rocha
NEURAL COMPUTATION
(2009)
Article
Physics, Multidisciplinary
Eric Shea-Brown, Kresimir Josic, Jaime de la Rocha, Brent Doiron
PHYSICAL REVIEW LETTERS
(2008)
Article
Multidisciplinary Sciences
Alfonso Renart, Jaime de la Rocha, Peter Bartho, Liad Hollender, Nestor Parga, Alex Reyes, Kenneth D. Harris
Article
Multidisciplinary Sciences
Ainhoa Hermoso-Mendizabal, Alexandre Hyafil, Pavel E. Rueda-Orozco, Santiago Jaramillo, David Robbe, Jaime de la Rocha
NATURE COMMUNICATIONS
(2020)
Article
Biology
Adrian Ponce-Alvarez, Gabriela Mochol, Ainhoa Hermoso-Mendizabal, Jaime de la Rocha, Gustavo Deco
Correction
Multidisciplinary Sciences
Ainhoa Hermoso-Mendizabal, Alexandre Hyafil, Pavel E. Rueda-Orozco, Santiago Jaramillo, David Robbe, Jaime de la Rocha
NATURE COMMUNICATIONS
(2020)
Article
Multidisciplinary Sciences
Genis Prat-Ortega, Klaus Wimmer, Alex Roxin, Jaime de la Rocha
Summary: The attractor network model demonstrates a novel flexible categorization regime that allows reversals of initial incorrect categorizations, leading to a non-monotonic psychometric curve.
NATURE COMMUNICATIONS
(2021)
Article
Multidisciplinary Sciences
Lluis Hernandez-Navarro, Ainhoa Hermoso-Mendizabal, Daniel Duque, Jaime de la Rocha, Alexandre Hyafil
Summary: The study demonstrates that reactive and proactive responses coexist in rats' auditory tasks, indicating a separation between choice selection and motor initiation. A novel model suggests that proactive and reactive responses are triggered when either Action Initiation or Evidence Accumulation reaches a bound. This challenges traditional models by showing that proactive and reactive processes compete for response generation.
NATURE COMMUNICATIONS
(2021)
Article
Biology
Alexandre Hyafil, Jaime de la Rocha, Cristina Pericas, Leor N. Katz, Alexander C. Huk, Jonathan W. Pillow
Summary: This study compared temporal integration against non-integration strategies and found that temporal integration is a common feature in perceptual decision-making tasks. Evidence from behavioral data and statistical analysis supported the existence of temporal integration.