The attentive brain: insights from developmental cognitive neuroscience

D Amso, G Scerif - Nature Reviews Neuroscience, 2015 - nature.com
Visual attention functions as a filter to select environmental information for learning and
memory, making it the first step in the eventual cascade of thought and action systems. Here …

Interneuron types as attractors and controllers

G Fishell, A Kepecs - Annual review of neuroscience, 2020 - annualreviews.org
Cortical interneurons display striking differences in shape, physiology, and other attributes,
challenging us to appropriately classify them. We previously suggested that interneuron …

Oscillations in the prefrontal cortex: a gateway to memory and attention

K Benchenane, PH Tiesinga, FP Battaglia - Current opinion in neurobiology, 2011 - Elsevier
We consider the potential role of oscillations in the prefrontal cortex (PFC) in mediating
attention, working memory and memory consolidation. Activity in the theta, beta, and gamma …

What can mice tell us about how vision works?

AD Huberman, CM Niell - Trends in neurosciences, 2011 - cell.com
Understanding the neural basis of visual perception is a long-standing fundamental goal of
neuroscience. Historically, most vision studies were carried out on humans, macaques and …

The impact of NMDA receptor hypofunction on GABAergic neurons in the pathophysiology of schizophrenia

SM Cohen, RW Tsien, DC Goff, MM Halassa - Schizophrenia research, 2015 - Elsevier
While the dopamine hypothesis has dominated schizophrenia research for several decades,
more recent studies have highlighted the role of fast synaptic transmitters and their receptors …

Tasks for inhibitory interneurons in intact brain circuits

L Roux, G Buzsáki - Neuropharmacology, 2015 - Elsevier
Synaptic inhibition, brought about by a rich variety of interneuron types, counters excitation,
modulates the gain, timing, tuning, bursting properties of principal cell firing, and exerts …

Real-time patient-specific ECG classification by 1D self-operational neural networks

J Malik, OC Devecioglu, S Kiranyaz… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Objective: Despitethe proliferation of numerous deep learning methods proposed for generic
ECG classification and arrhythmia detection, compact systems with the real-time ability and …

Real-time glaucoma detection from digital fundus images using self-onns

OC Devecioglu, J Malik, T Ince, S Kiranyaz… - Ieee …, 2021 - ieeexplore.ieee.org
Glaucoma leads to permanent vision disability by damaging the optical nerve that transmits
visual images to the brain. The fact that glaucoma does not show any symptoms as it …

Rapid sensory adaptation redux: a circuit perspective

CJ Whitmire, GB Stanley - Neuron, 2016 - cell.com
Adaptation is fundamental to life. All organisms adapt over timescales that span from
evolution to generations and lifetimes to moment-by-moment interactions. The nervous …

[HTML][HTML] Self-organized operational neural networks with generative neurons

S Kiranyaz, J Malik, HB Abdallah, T Ince, A Iosifidis… - Neural Networks, 2021 - Elsevier
Abstract Operational Neural Networks (ONNs) have recently been proposed to address the
well-known limitations and drawbacks of conventional Convolutional Neural Networks …