The enormous progress made in functional magnetic resonance imaging technology allows us to watch our brains engage in complex cognitive and social tasks. However, our understanding of what actually is computed in the underlying cellular networks is hindered by the vast numbers of neurons involved. Here, we describe a vertebrate system, shaped for top speed, in which a complex and plastic decision is performed by surprisingly small circuitry that can be studied at cellular resolution.

Download full-text PDF

Source
http://dx.doi.org/10.1126/science.1149265DOI Listing

Publication Analysis

Top Keywords

small circuits
4
circuits large
4
large tasks
4
tasks high-speed
4
high-speed decision-making
4
decision-making archerfish
4
archerfish enormous
4
enormous progress
4
progress functional
4
functional magnetic
4

Similar Publications

Perovskite/silicon tandem solar cells (TSCs) are promising candidates for commercialization due to their outstanding power conversion efficiencies (PCEs). However, controlling the crystallization process and alleviating the phases/composition inhomogeneity represent a considerable challenge for perovskite layers grown on rough silicon substrates, ultimately limiting the efficiency and stability of TSC. Here, this study reports a "halide locking" strategy that simultaneously modulates the nucleation and crystal growth process of wide bandgap perovskites by introducing a multifunctional ammonium salt, thioacetylacetamide hydrochloride (TAACl), to bind with all types of cations and anions in the mixed halide perovskite precursor.

View Article and Find Full Text PDF

A proof-of-concept study in small and large animal models for coupling liver normothermic machine perfusion with mesenchymal stromal cell bioreactors.

Nat Commun

January 2025

General and Liver Transplant Surgery Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20100, Milan, Italy.

To fully harness mesenchymal-stromal-cells (MSCs)' benefits during Normothermic Machine Perfusion (NMP), we developed an advanced NMP platform coupled with a MSC-bioreactor and investigated its bio-molecular effects and clinical feasibility using rat and porcine models. The study involved three work packages: 1) Development (n = 5): MSC-bioreactors were subjected to 4 h-liverless perfusion; 2) Rat model (n = 10): livers were perfused for 4 h on the MSC-bioreactor-circuit or with the standard platform; 3) Porcine model (n = 6): livers were perfused using a clinical device integrated with a MSC-bioreactor or in its standard setup. MSCs showed intact stem-core properties after liverless-NMP.

View Article and Find Full Text PDF

Sepsis is a global health challenge, characterized by a dysregulated immune response, leading to organ dysfunction and death. Despite advances in medical care, sepsis continues to claim a significant toll on human lives, with mortality rates from 10-25% for sepsis and 30-50% for septic shock, making it a leading cause of death worldwide. Current diagnostic methods rely on clinical signs, laboratory parameters, or microbial cultures and suffer from delays and inaccuracies.

View Article and Find Full Text PDF

This study discusses the results of using a regression machine learning technique to improve the performance of 6G applications that use multiple-input multiple-output (MIMO) antennas operating at the terahertz (THz) frequency band. This research evaluates an antenna's performance using various methodologies, such as simulation and RLC equivalent circuit models. The suggested design has a broad bandwidth of 2.

View Article and Find Full Text PDF

A generative model of the connectome with dynamic axon growth.

Netw Neurosci

December 2024

Department of Biomedical Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, VIC, Australia.

Connectome generative models, otherwise known as generative network models, provide insight into the wiring principles underpinning brain network organization. While these models can approximate numerous statistical properties of empirical networks, they typically fail to explicitly characterize an important contributor to brain organization-axonal growth. Emulating the chemoaffinity-guided axonal growth, we provide a novel generative model in which axons dynamically steer the direction of propagation based on distance-dependent chemoattractive forces acting on their growth cones.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!