12 papers · ranked by Valyu relevance
Qianli Yang, Edgar Walker, R. James Cotton, Andreas S. Tolias + 1 more
'Xaq Pitkow'] Sensory data about most natural task-relevant variables are entangled with task-irrelevant nuisance variables. The neurons that encode these relevant signals typically constitute a nonlinear population code. Here we present a theoretical framework for quantifying how the brain uses or decodes its…
Hisham Temmar, Matthew S Willsey, Joseph T Costello, Matthew J Mender + 7 more
Objective. Brain-machine interfaces (BMI) aim to restore function to persons living with spinal cord injuries by ‘decoding’ neural signals into behavior. Recently, nonlinear BMI decoders have outperformed previous state-of-the-art linear decoders, but few studies have investigated what specific improvements these…
JohnMark Taylor, Yaoda Xu
Recent experimental and theoretical work has shown that nonlinear mixed selectivity, where neurons exhibit interaction effects in their tuning to multiple variables (e.g., stimulus and task), plays a key role in enabling the primate brain to form representations that can adapt to changing task contexts. Thus far, all…
Fei Xia, Kyungduk Kim, Yaniv Eliezer, SeungYun Han + 3 more
Optical information processing and computing can potentially offer enhanced performance, scalability and energy efficiency. However, achieving nonlinearity-a critical component of computation-remains challenging in the optical domain. Here we introduce a design that leverages a multiple-scattering cavity to passively…
Wen Chen
The high degrees of freedom of light, various optical structures and optical materials can be explored and applied to develop optical encryption for securing information. An exciting optical image encryption approach has been proposed based on spatial nonlinear optics.
Egor Manuylovich, Dmitrii Stoliarov, David Saad, Sergei K. Turitsyn
Mapping input signals to a high-dimensional space is a critical concept in various neuromorphic computing paradigms, including models such as reservoir computing (RC) and extreme learning machines (ELM). We propose using commercially available telecom devices and technologies developed for high-speed optical data…
Ronal A. Perez, Elisabet Pérez-Cabré, Juan M. Vilardy, María S. Millán + 4 more
'María S. Millán' 'Cesar O. Torres' 'Manuel Filipe P. C. M. Costa' 'Orlando Frazão' 'Rogerio Nogueira'] In this work, we present a new nonlinear joint transform correlator (JTC) architecture in the Fourier domain (FD) for the encryption and decryption of two simultaneous images. The main features of the proposed system…
Svitlana Matsenko, Oleksiy Borysenko, Sandis Spolitis, Aleksejs Udalcovs + 6 more
'Aleksejs Udalcovs' 'Lilita Gegere' 'Aleksandr Krotov' 'Oskars Ozolins' 'Vjaceslavs Bobrovs' 'Song-Nam Hong' 'T. Aaron Gulliver'] Forward error correction (FEC) codes combined with high-order modulator formats, i.e., coded modulation (CM), are essential in optical communication networks to achieve highly efficient and…
Tong Ye, Xiaofei Su, Ke Zhang, Chengwu Yang + 5 more
'Yangyang Fan' 'Hisao Nakashima' 'Takeshi Hoshida' 'Zhenning Tao'] Nonlinear distortion (noise) limits many communication systems, demanding a means of estimating system performance via device nonlinear characteristics. The noise power ratio (NPR) method which was proposed in 1971 solves this problem for systems with…
Niklas Gassner, Julia Lieb, Abhinaba Mazumder, Michael Schaller
In this paper, we present a framework for generic decoding of convolutional codes, which allows us to do cryptanalysis of code-based systems that use convolutional codes as public keys. We then apply this framework to information set decoding, study success probabilities and give tools to choose variables. Finally, we…
Alireza Tasdighi, Mansoor Yousefi, Jun Chen
Weighted belief propagation (WBP) for the decoding of linear block codes is considered. In WBP, the Tanner graph of the code is unrolled with respect to the iterations of the belief propagation decoder. Then, weights are assigned to the edges of the resulting recurrent network and optimized offline using a training…
Yuxuan Sun, Liangbin Zhao, Jianguo Li, Ziyi Zhang + 3 more
'Xiangyuan Bu' 'Xiaomin Ma'] The traditional LDPC encoding and decoding system is characterized by low throughput and high resource consumption, making it unsuitable for use in cost-efficient, energy-saving sensor networks. Aiming to optimize coding complexity and throughput, this paper proposes a combined design of a…