Results 191 to 200 of about 57,909 (296)

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Relevance of Probabilistic Reversal Learning for Adolescent Drinking Trajectories. [PDF]

Addict Biol
Fröhner JH, Waltmann M, Reiter AMF, Kräplin A, Smolka MN.   +4 more
europepmc   +1 more source

Image discrimination reversal learning is impaired by sleep deprivation in rats: Cognitive rigidity or fatigue? [PDF]

Front Syst Neurosci, 2022
Strobel BK, Schmidt MA, Harvey DO, Davis CJ.   +3 more
europepmc   +1 more source

Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review

Advanced Materials, EarlyView.
Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase, Varsha C. Pujari, Akash V. Fulari, Sunil M. Patange, Sean Li, Danyang Wang, Sagar E. Shirsath   +6 more
wiley   +1 more source

Serial visual reversal learning in harbor seals (Phoca vitulina). [PDF]

Anim Cogn, 2022
Erdsack N, Dehnhardt G, Hanke FD.
europepmc   +1 more source

Electrically Coded Retinomorphic Spectrophotodetector

Advanced Materials, EarlyView.
Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley   +1 more source

Beta and High Gamma Oscillations in the Cortico-striatal Network Reflect Reward Certainty on a Probabilistic Reversal Learning Task. [PDF]

J Neurosci
Koloski MF, Salimi M, Hulyalkar S, Tang T, Barnes SA, Mishra J, Ramanathan DS.   +6 more
europepmc   +1 more source

Pride and learning in reverse

Canadian Family Physician
openaire   +2 more sources

Reversible Hydration Tuning of Polar Order and Large Nonlinear Optical Response in a 2D van der Waals Crystal, LiInP2S6

Advanced Materials, EarlyView.
Hydration‐induced symmetry breaking transforms layered LiInP2S6${\rm LiInP}_2{\rm S}_6$ from a nonpolar to a chiral‐polar phase, producing a giant enhancement of non‐resonant second‐harmonic generation. The reversible tuning of polar order through molecular intercalation establishes a strategy for dynamically controlling nonlinear optical ...
Jadupati Nag, Saugata Sarker, Michael J. Waters, Safdar Imam, Himirkanti Sarkar, Anthony Richardella, James M. Rondinelli, Mercouri G. Kanatzidis, Venkatraman Gopalan   +8 more
wiley   +1 more source

From learning to reversal learning: How non-cleaner fish tackle the biological market task. [PDF]

Anim Cogn
Prétôt L, Miller H, Leyden K.
europepmc   +1 more source