19 papers · ranked by Valyu relevance
Mohamed Athif, Samantha Malmberg, Rebecca Mount, Kush Patel + 12 more
The timing of spikes dictates a neuron’s impact on downstream circuits and behavior, and spike timing is determined by the membrane potential (Vm). However, due to technical challenges, it has been impossible to analyze the relative timing of Vm dynamics between neurons during behavior. Using large scale membrane…
Mattia F. Pagnotta, Aniol Santo-Angles, Ainsley Temudo, Joao Barbosa + 3 more
The ability to successfully retain and manipulate information in working memory (WM) requires that objects’ individual features are bound into cohesive representations; yet, the mechanisms supporting feature binding remain unclear. Binding (or swap) errors, where memorized features are erroneously associated with the…
Zhicheng Shen, Sajjad Taravati, Jize Yan
In modern wireless communication systems, data transmission is achieved through the collaboration of digital modulation circuits and antennas. Digital baseband signals are first modulated in terms of amplitude, frequency, and phase of the carrier wave and then transmitted directionally via antennas. However, in…
Nigel Crook, Alexander D. Rast, Eleni Elia, Mario Antoine Aoun
Introduction In this work, we introduce a novel approach to one of the historically fundamental questions in neural networks: how to encode information? More particularly, we look at temporal coding in spiking networks, where the timing of a spike as opposed to the frequency, determines the information content. In…
Stefano Ricci, Alin-Mihai Cailean
Visible Light Communication (VLC) is a transformative paradigm poised to revolutionize the automotive and numerous other sectors. As the demand for high data rates and low latency applications grows, the limited bandwidth of standard white LED-based lamps-typically restricted to a few MHz-presents a significant…
Giulio Ruffini
Hierarchical encoding is a structural element of the Free Energy Principle and related information-centric accounts of brain function, but a concrete circuit-level mechanism for it remains elusive. Here we examine Hierarchical Amplitude Modulation (HAM). In this computationally grounded scheme, information is encoded…
Hao Tian Shi, Lei Zhang, Rui Yuan Wu, Yi Ning Zheng + 6 more
With the rapid advancement of metasurfaces and the increasing demand for programmable metasurfaces to simplify information systems, wave-based computation using metasurfaces has emerged as an attractive research topic. To facilitate the mathematical operations in electromagnetic (EM) space, here we propose a…
Authors not listed
Tandem mass spectrometry (MS/MS) fragmentation is conventionally understood as stochastic bond cleavage determined by thermochemical bond strengths and collision energies. We demonstrate that fragmentation is a deterministic categorical state progression governed by phase-lock network topology, where fragment…
Lihong Cao
The human brain encodes a virtually infinite repertoire of semantic concepts using a finite number of neurons, a feat that defies the capacity limits of classical attractor networks. While “Concept Cells” in the medial temporal lobe (MTL) exhibit extreme sparsity, the information-theoretic principles governing their…
Alican Nalci, Hilmi E. Egilmez, Madhu Krishnan, Lu Keng-Shih + 18 more
Alican Nalci ∗ , Hilmi E. Egilmez† , Madhu P. Krishnan‡ , Keng-Shih Lu § , Joe Young § , Debargha Mukherjee § , Lin Zheng § , Jingning Han § , Joel Sole ¶ , Xin Zhao † , Tianqi Liu ‡ , Liang Zhao ‡ , Todd Nguyen § , Urvang Joshi § , Kruthika Koratti Sivakumar § , Luhang Xu ∥ , Zhijun Lei ∗ , Yue Yu ∥ , Aki Kuusela † …
Jun Xu, Zhengxue Cheng, Fengxi Zhang, Yuhan Liu + 2 more
Learning-based speech compression has achieved promising low-bitrate performance, but many neural speech codecs still describe quantized latents with preset-rate discrete symbols or apply entropy coding only after symbol generation. Such designs decouple representation learning from probability modeling, limiting their…
Xinyuanmeng Yao, Xiao Ma
This paper first presents a new approach to evaluating the descriptive complexity of finite-length binary sequences. Specifically, we investigate the sequence-wise recovery behavior induced by polar compression and successive cancellation decoding (SCD), and define the polar complexity of a sequence as the minimum…
Authors not listed
Conductive media in which ions carry charge through a solution are foundationally important to batteries, supercapacitors, and ionotronic devices. Shifts in ion mobility imposed by physical changes in the solution can dynamically impact the conductivity of the medium. This paper reports a class of…
Don Yin
Among individuals with equivalent Alzheimer’s pathology, cognitive outcomes can diverge by decades, a phenomenon termed cognitive reserve that remains descriptive after thirty years of research. We propose that the ∼10^9^-to-10 bits/s gap between sensory input and behavioral output functions as error-correcting…
Authors not listed
We present a chemical framework in which adaptive organization is achieved by tuning a gated quantum resonator (adaptive genomic resonator) {driven quantum oscillator} across a driven, dissipative reaction manifold (fitness landscape) {Hamiltonian potential surface}. In this view, catalytic elements set gain and phase…
Tilo Strutz, Roman Rischke
—The transmission or storage of signals typically involves data compression. The final processing step in compression systems is generally an entropy coding stage, which converts symbols into a bit stream based on their probability distribution. A distinct class of entropy coding methods operates not by mapping input…
Authors not listed
Self-driving laboratories (SDLs) are poised to transform materials discovery by integrating automation with machine learning (ML) to accelerate data-driven experimentation. However, most SDL frameworks remain limited by single-feedback optimization and lack the multi-modal diagnostics needed to resolve both optical and…
Zian Meng, Qiang Li, W.H. Wilson Tang, Yan + 2 more
—Deep learning-based semantic communication has largely relied on analog or semi-digital transmission, which limits compatibility with modern digital communication infrastructures. Recent studies have employed vector quantization (VQ) to enable discrete semantic transmission, yet existing methods neglect channel state…
Kees Schouhamer Immink, Jos H. Weber, Tuan Thanh Nguyen, Kui Cai + 2 more
The design of low-complexity and efficient constrained codes has been a major research item for many years. This paper reports on a versatile method named concatenated constrained codes for designing efficient fixed-length constrained codes with small complexity. A concatenated constrained code comprises two (or more)…