Publications related to Computational neuroscience

Expectation consistency for calibration of neural networks

Florent Gérard Krzakala, Lenka Zdeborová, Lucas Andry Clarte, Bruno Loureiro

Despite their incredible performance, it is well reported that deep neural networks tend to be overoptimistic about their prediction confidence. Finding effective and efficient calibration methods for neural networks is therefore an important endeavour tow ...

2023

Fast in vivo assay of creatine kinase activity in the human brain by P-31 magnetic resonance fingerprinting

Lijing Xin, Daniel Wenz, Mark Stephan Widmaier, Songi Lim

A new and efficient magnetisation transfer P-31 magnetic resonance fingerprinting (MT-P-31-MRF) approach is introduced to measure the creatine kinase metabolic rate kCK

{k}_{\mathrm{CK}}

between phosphocreatine (PCr) and adenosine triphosphate (ATP) i ...

WILEY2023

AiiDA-defects: an automated and fully reproducible workflow for the complete characterization of defect chemistry in functional materials

Nicola Marzari, Sokseiha Muy, Conrad Johnston

Functional materials that enable many technological applications in our everyday lives owe their unique properties to defects that are carefully engineered and incorporated into these materials during processing. However, optimizing and characterizing thes ...

IOP Publishing Ltd2023

Phonon Self-Energy Corrections: To Screen, or Not to Screen

Nicola Marzari, Samuel Poncé

First-principles calculations of phonons are often based on the adiabatic approximation and on Brillouinzone samplings that might not always be sufficient to capture the subtleties of Kohn anomalies. These shortcomings can be addressed through corrections ...

College Pk2023

DELMEP: a deep learning algorithm for automated annotation of motor evoked potential latencies

Friedhelm Christoph Hummel, Claudia Bigoni, Nima Taherinejad

The analysis of motor evoked potentials (MEPs) generated by transcranial magnetic stimulation (TMS) is crucial in research and clinical medical practice. MEPs are characterized by their latency and the treatment of a single patient may require the characte ...

NATURE PORTFOLIO2023

Hardware-Software Co-design for Improved Resource Utilization in DNN Accelerators

Ahmet Caner Yüzügüler

Deep neural networks (DNN) have become an essential tool to tackle challenging tasks in many fields of computer science. However, their high computational complexity limits their applicability. Specialized DNN accelerators have been developed to accommodat ...

EPFL2023

Sharpening the blades of the dentate gyrus: how adult-born neurons differentially modulate diverse aspects of hippocampal learning and memory

Gabriel Berdugo Vega

For decades, the mammalian hippocampus has been the focus of cellular, anatomical, behavioral, and computational studies aimed at understanding the fundamental mechanisms underlying cognition. Long recognized as the brain's seat for learning and memory, a ...

WILEY2023

A Simple, Closed-Form Method for Determining the Superelevation of Tall Reinforced Concrete Buildings

David Michael Volpe Ruggiero, Paola Costanza Miglietta

The vertical shortening of tall buildings is not negligible, and it is important to account for these deformations to minimize differential movement and ensure that the finished building is level. Compensation via superelevation is common in reinforced con ...

Springer2023

High throughput wide field second harmonic imaging of giant unilamellar vesicles

Sylvie Roke, Maksim Eremchev, David Roesel, Pierre-Marc Jean Marie Dansette

Cell-sized giant unilamellar vesicles (GUVs) are an ideal tool for understanding lipid membrane structure and properties. Label-free spatiotemporal images of their membrane potential and structure would greatly aid the quantitative understanding of membran ...

AIP Publishing2023

Do we really measure what we think we are measuring?

Michael Herzog, Simona Adele Garobbio, Dario Alejandro Gordillo Lopez

Tests used in the empirical sciences are often (implicitly) assumed to be representative of a given research question in the sense that similar tests should lead to similar results. Here, we show that this assumption is not always valid. We illustrate our ...

2023

Computational neuroscience

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Expectation consistency for calibration of neural networks

Fast in vivo assay of creatine kinase activity in the human brain by P-31 magnetic resonance fingerprinting

AiiDA-defects: an automated and fully reproducible workflow for the complete characterization of defect chemistry in functional materials

Phonon Self-Energy Corrections: To Screen, or Not to Screen

DELMEP: a deep learning algorithm for automated annotation of motor evoked potential latencies

Hardware-Software Co-design for Improved Resource Utilization in DNN Accelerators

Sharpening the blades of the dentate gyrus: how adult-born neurons differentially modulate diverse aspects of hippocampal learning and memory

A Simple, Closed-Form Method for Determining the Superelevation of Tall Reinforced Concrete Buildings

High throughput wide field second harmonic imaging of giant unilamellar vesicles

Do we really measure what we think we are measuring?

Expectation consistency for calibration of neural networks

Fast in vivo assay of creatine kinase activity in the human brain by P-31 magnetic resonance fingerprinting

AiiDA-defects: an automated and fully reproducible workflow for the complete characterization of defect chemistry in functional materials

Hardware-Software Co-design for Improved Resource Utilization in DNN Accelerators

Phonon Self-Energy Corrections: To Screen, or Not to Screen

DELMEP: a deep learning algorithm for automated annotation of motor evoked potential latencies

A Simple, Closed-Form Method for Determining the Superelevation of Tall Reinforced Concrete Buildings

Sharpening the blades of the dentate gyrus: how adult-born neurons differentially modulate diverse aspects of hippocampal learning and memory

High throughput wide field second harmonic imaging of giant unilamellar vesicles

Do we really measure what we think we are measuring?