Adaptive Memory of a Neuromorphic Transistor with Multi-Sensory Signal Fusion

Review Behavioral Sciences

Enriched learning: behavior, brain, and computation

Brian Mathias et al.

Summary: The presence of multimodal enrichment during learning can greatly benefit learning outcomes. This is because crossmodal responses in sensory and motor brain regions contribute to the behavioral benefits of enrichment.

TRENDS IN COGNITIVE SCIENCES (2023)

Add to Collection

Article Neurosciences

Reduced hippocampal-cortical connectivity during memory suppression predicts the ability to forget unwanted memories

Yuchi Yan et al.

Summary: Successful memory suppression is associated with hippocampal deactivations and a concomitant disruption of this region's functionality. In this study, using psychophysiological interactions and seed connectome-based predictive modeling, it was found that during retrieval suppression, the right hippocampus exhibited decreased functional connectivity with visual cortical areas, the left nucleus accumbens, and the brain-stem, which predicted superior forgetting of unwanted memories on later memory tests.

CEREBRAL CORTEX (2023)

Add to Collection

Article Multidisciplinary Sciences

A flexible artificial chemosensory neuronal synapse based on chemoreceptive ionogel-gated electrochemical transistor

Hamna Haq Chouhdry et al.

Summary: Developing an artificial olfactory system that can mimic biological functions is challenging. The authors developed an artificial chemosensory synapse using a flexible organic electrochemical transistor gated by the potential generated from gas molecules interacting with ions in a chemoreceptive ionogel. This device can sense chemical stimuli and mimic the functions of neurotransmitter release in the olfactory system, and has potential applications in biomimetic chemosensory systems.

NATURE COMMUNICATIONS (2023)

Add to Collection

Review Materials Science, Multidisciplinary

Recent Advances of Capacitive Sensors: Materials, Microstructure Designs, Applications, and Opportunities

Allen J. Cheng et al.

Summary: Capacitive sensors have rapidly advanced and created new applications, such as wearable sensors for human health monitoring, integrated sensors for intelligent surgical devices, and tactile interfaces for robots. Compared to other types of sensors, capacitive sensors have advantages of low power consumption, excellent linearity, and fast response time. This review focuses on the recent advancements and developments of high-performance capacitive sensors with new materials and microstructures, which greatly enhance their sensitivity, accuracy, linearity, and response time. It also provides a review of recent applications and discusses current challenges and future opportunities.

ADVANCED MATERIALS TECHNOLOGIES (2023)

Add to Collection

Article Chemistry, Multidisciplinary

Supported Lipid Bilayers Coupled to Organic Neuromorphic Devices Modulate Short-Term Plasticity in Biomimetic Synapses

Claudia Lubrano et al.

Summary: This study investigates the short-term depression of a biomembrane-based organic electrochemical transistor (OECT) through supported lipid bilayer mediation. The ionic barrier behavior of the lipid bilayer is utilized to enhance the neuromorphic operation of the OECT. These biomimetic neuromorphic devices pave the way for in vitro platforms resembling synapses to study and characterize synaptic plasticity loss in neurodegenerative diseases.

ADVANCED MATERIALS (2022)

Add to Collection

Article Chemistry, Multidisciplinary

Ultralow-Power and Multisensory Artificial Synapse Based on Electrolyte-Gated Vertical Organic Transistors

Guocai Liu et al.

Summary: This study presents the development of multisensory artificial synapse and neural networks based on electrolyte-gated vertical organic field-effect transistors (VOFETs). With a scaled down channel length and a large electric double layer capacitance, the artificial synapse exhibits significantly lower power consumption compared to biological synapses. It is capable of learning and memory functions, as well as emulating human brain's information processing and sound detection. Additionally, the artificial synapse can be applied in acidity discrimination as an artificial tongue.

ADVANCED FUNCTIONAL MATERIALS (2022)

Add to Collection

Article Neurosciences

A synergistic core for human brain evolution and cognition

Andrea Luppi et al.

Summary: This study decomposes neural information into synergistic and redundant components, showing the role of core brain regions in supporting higher cognition and demonstrating that humans leverage synergistic information more than macaques. The study also reveals the distinct roles of redundant and synergistic interactions in neural information processing.

NATURE NEUROSCIENCE (2022)

Add to Collection

Article Chemistry, Multidisciplinary

Artificial Olfactory Neuron for an In-Sensor Neuromorphic Nose

Joon-Kyu Han et al.

Summary: A neuromorphic module of an electronic nose is demonstrated using a chemoresistive gas sensor and a single transistor neuron. It simultaneously detects gases and encodes spike signals, mimicking the biological olfactory system. An analysis of the mixed signals using a spiking neural network allows the identification of odor sources. This approach eliminates the need for conversion circuits and reduces power consumption compared to traditional electronic noses.

ADVANCED SCIENCE (2022)

Add to Collection

Article Chemistry, Multidisciplinary

Flexible Artificial Optoelectronic Synapse based on Lead-Free Metal Halide Nanocrystals for Neuromorphic Computing and Color Recognition

Ying Li et al.

Summary: This article presents a flexible optoelectronic synaptic system based on lead-free Cs3Bi2I9 nanocrystals, which can simulate synaptic behaviors, implement visual perception, visual memory, and color recognition functions, and possesses excellent robustness and high-precision recognition capability.

ADVANCED SCIENCE (2022)

Add to Collection

Article Chemistry, Multidisciplinary

A Flexible Artificial Sensory Nerve Enabled by Nanoparticle-Assembled Synaptic Devices for Neuromorphic Tactile Recognition

Chengpeng Jiang et al.

Summary: A flexible artificial sensory nerve mimicking the human somatosensory system has been developed to improve cognition and intelligence in advanced robots and interactive systems.

ADVANCED SCIENCE (2022)

Add to Collection

Editorial Material Behavioral Sciences

How do natural environments shape adaptive cognition across the lifespan?

Catherine A. Hartley

Summary: This paragraph discusses how human cognition adapts to the idiosyncratic features of our real-world experiences. It highlights the significance of the dynamic interaction between individuals and their natural environments and emphasizes the importance of an ecological approach in studying the adaptive nature of cognition.

TRENDS IN COGNITIVE SCIENCES (2022)

Add to Collection

Review Ecology

Behavioral plasticity can facilitate evolution in urban environments

Tal Caspi et al.

Summary: Plasticity-led evolution plays a central role in evolutionary theory and is particularly evident in novel environments like cities. Our research highlights the abundant evidence of plastic behavioral changes in urban animals and their significant impact on urban evolution through spatial, temporal, and mate-choice mechanisms. We emphasize the need to incorporate behavioral plasticity more formally into urban evolutionary research and the opportunity provided by urban environments to study behavioral mechanisms of plasticity-led processes.

TRENDS IN ECOLOGY & EVOLUTION (2022)

Add to Collection

Review Ecology

Plasticity's role in adaptive evolution depends on environmental change components

Anna C. Vinton et al.

Summary: To predict the risks of extinction of natural populations, it is important to consider both phenotypic plasticity and adaptive evolution. However, there is contradicting evidence regarding the role of plasticity in facilitating adaptive responses in changing environments. This study proposes a framework that explicitly considers the rate of change, variance, and temporal autocorrelation as key components of environmental change, which can improve predictions of population viability.

TRENDS IN ECOLOGY & EVOLUTION (2022)

Add to Collection

Article Chemistry, Physical

A biomimetic afferent nervous system based on the flexible artificial synapse

Kaiyang Wang et al.

Summary: This study presents a chip-like flexible biomimetic afferent nervous system (ANS) device that combines ion conductive elastomer (ICE) with MXene artificial synapse. It successfully simulates the sensory behaviors of biological ANS and generates plastic neuroimpulse in response to real stimuli, allowing for the transformation from short-term memory to long-term memory.

NANO ENERGY (2022)

Add to Collection

Article Chemistry, Multidisciplinary

A flexible biohybrid reflex arc mimicking neurotransmitter transmission

Lin Shao et al.

Summary: This article reports a method for constructing a flexible biohybrid artificial motor biofeedback inspired by neuromuscular transmission. Biocompatible interfaces are built by seeding biological cells on the gate of the organic synapse. This reflex arc enables memory consolidation and has selectivity to neurotransmitters.

CELL REPORTS PHYSICAL SCIENCE (2022)

Add to Collection

Article Chemistry, Multidisciplinary

Article A flexible biohybrid reflex arc mimicking neurotransmitter transmission

Lin Shao et al.

Summary: This study presents a flexible biohybrid artificial motor biofeedback inspired by neuromuscular transmission, which may provide a way for nerve repair and development of neural prosthetics, as well as facilitate human-machine interfaces.

CELL REPORTS PHYSICAL SCIENCE (2022)

Add to Collection

Review Chemistry, Multidisciplinary

Standards for the Characterization of Endurance in Resistive Switching Devices

Mario Lanza et al.

Summary: RS devices face challenges in variability and reliability issues, and the current method of endurance evaluation shows high inaccuracy and unreliability. A new method proposed in this article aims to provide a more accurate characterization of endurance in RS devices, which could lead to more reliable literature and accelerate their integration in commercial products.

ACS NANO (2021)

Add to Collection

Article Biochemistry & Molecular Biology

A transcriptional rheostat couples past activity to future sensory responses

Tatsuya Tsukahara et al.

Summary: The research found that each subtype of olfactory sensory neuron in mice has a unique transcriptome, which is precisely determined by interactions between its odorant receptor and the environment. This transcriptional variation is systematically organized to support sensory adaptation and accurately predict responses to odors. The findings suggest a general model where structured transcriptional variation within a cell type reflects individual experience.

CELL (2021)

Add to Collection

Article Multidisciplinary Sciences

Input associativity underlies fear memory renewal

Wei-Guang Li et al.

Summary: Research shows that fear renewal is determined by the associativity between convergent inputs from the auditory cortex and ventral hippocampus onto the lateral amygdala, reactivating ensembles engaged during learning. Fear renewal enhances synaptic strengths of both inputs and optogenetic activation of their input associativity in the LA recapitulates fear renewal. Input associativity underlies fear memory renewal.

NATIONAL SCIENCE REVIEW (2021)

Add to Collection

Article Chemistry, Multidisciplinary

Selective Release of Different Neurotransmitters Emulated by a p-i-n Junction Synaptic Transistor for Environment-Responsive Action Control

Shuo Zhang et al.

Summary: The p-i-n junction synaptic transistor emulates fast switching between single neurotransmitters and multiple neurotransmissions, as well as the synergistic effect of taste and aroma on food intake control in the brain. Its bipolarity allows for excellent reconfigurability, simulating synaptic plasticity and the response of gustatory receptor neurons to different salt concentrations. This electronic device lays the foundation for future complex artificial neural networks.

ADVANCED MATERIALS (2021)

Add to Collection

Review Materials Science, Multidisciplinary

Recent Progress on Flexible Capacitive Pressure Sensors: From Design and Materials to Applications

Rishabh B. Mishra et al.

Summary: The revolutionary design and fabrication methods of flexible capacitive pressure sensors have greatly improved the field of flexible and wearable electronics. Mathematical modeling, finite element simulations, and unique fabrication strategies are utilized to create diverse shapes and functions for these sensors. By detecting changes in capacitance due to pressure-induced deformation, these sensors have found applications in various industries and have promising future prospects.

ADVANCED MATERIALS TECHNOLOGIES (2021)

Add to Collection

Article Multidisciplinary Sciences

Transformative neural representations support long-term episodic memory

Jing Liu et al.

Summary: Memory is a dynamic process involving substantial transformations of mental representations, with more pronounced semantic formats predicting better long-term memory. The representations undergo significant transformations during encoding, and those during long-term memory retrieval are more similar to those during short-term maintenance.

SCIENCE ADVANCES (2021)

Add to Collection

Article Neurosciences

Adaptive circuit dynamics across human cortex during evidence accumulation in changing environments

Peter R. Murphy et al.

Summary: The study reveals that adaptive evidence accumulation is present during decision-making under uncertainty, and this computation is reflected in the recurrent dynamics of human parietal and motor cortices, with feedback to the sensory cortex.

NATURE NEUROSCIENCE (2021)

Add to Collection

Article Optics

Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit

Tiankuang Zhou et al.

Summary: Researchers propose a reconfigurable diffractive processing unit based on the diffraction of light, which supports different neural networks and achieves high model complexity with millions of neurons. By developing an adaptive training approach to overcome system errors, they achieve excellent experimental accuracies for high-speed image and video recognition.

NATURE PHOTONICS (2021)

Add to Collection

Review Chemistry, Multidisciplinary

Flexible and Stretchable Capacitive Sensors with Different Microstructures

Jing Qin et al.

Summary: Sensors that can simulate human skin have gained extensive attention, with flexible capacitive sensors playing a key role in various fields. The design of microstructures is crucial for improving sensitivity, with five commonly used microstructures for pressure sensors and four for strain sensors. The advantages, disadvantages, and practical values of different structures are systematically elaborated to guide the development of advanced flexible and stretchable capacitive sensors.

ADVANCED MATERIALS (2021)

Add to Collection

Article Psychology, Biological

Imprecise neural computations as a source of adaptive behaviour in volatile environments

Charles Findling et al.

Summary: Research suggests that simple, low-level inferences about uncertainty may be more effective in developing adaptive behavior in volatile environments than complex computations or high-level inferences about volatility. The Weber-imprecision model, based on imprecise representations of uncertainty, demonstrates near-optimal adaptive behavior regardless of environmental volatility and fits human behavior better than other optimal adaptive models.

NATURE HUMAN BEHAVIOUR (2021)

Add to Collection

Review Chemistry, Multidisciplinary