Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Social change: No decrease in singing rate upon first-time social isolation in the same environment. by Anja T. Zai (9225852)

Regions of significance for the simple block slopes on proportion of risky decisions as a function of past-month nonsuicidal self-injury (NSSI) and task. by Brooke H. Nancekivell (19949839)

Subjects:

Demographic and self-injury history characteristics for the sample. by Brooke H. Nancekivell (19949839)

Subjects:

Bivariate correlations and descriptive statistics for study variables. by Brooke H. Nancekivell (19949839)

Subjects:

Simple block slopes on proportion of risky decisions based on task. by Brooke H. Nancekivell (19949839)

Subjects:

Presentation 1_Differences in firing patterns along the dorsal-intermediate hippocampal axis in a fixed route during a change in emotional context.pptx by Ryan Troha (22597001)

Changes in judgments post- versus pre-exposure show that participants of Experiment 4 successfully learned the changes in normative environments. by Claire Lugrin (21156528)

Geometric manifold comparison visualization by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Hyperparameter ranges by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

The calcitron model and calcium-based plasticity rules. by Toviah Moldwin (10866708)

ERICC Policy Brief_ Supporting children’s mental health and wellbeing in and through education in contexts of conflict and protracted crises by ERICC consortium (17060334)

“…., 2013), potentially decreasing attendance and retention rates as well as learning quality and continuity. …”

Image 2_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev... by Ruoling Gao (12201178)

“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”

Image 1_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev... by Ruoling Gao (12201178)

“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”

Perceived Effect of ELSI-Focused Computational Checklist on the Quality of Attention Given to ELSI-related Issues for AI models and datasets. by Jennifer K. Wagner (8121503)

Ordinal regression predictions. by Thierry Jean (20691795)

Binary classification predictions. by Thierry Jean (20691795)

Data Sheet 1_Correlation analysis of osteoporosis and vertebral endplate defects using CT and MRI imaging: a retrospective cross-sectional study.pdf by Song Hao (5700608)

“…</p>Methods<p>Computed tomography (CT), magnetic resonance imaging (MRI), bone mineral density (BMD) and other relevant imaging data, as well as age, sex, body mass index (BMI), and degree of low back pain data, were retrospectively analysed. …”

RL agent simulations for slowly-changing perceptual biases. by Yelin Dong (21396067)

“…(<b>A, B</b>) The RL agent adjusts independent decision criteria for each optic flow condition, with a moderately fast learning rate of 0.04 deg/trial. (A) Solid curves depict the learned decision criteria across the three contexts: leftward (red), rightward (green), and neutral (blue) self-motion. …”

S1 Data - by Anja T. Zai (9225852)

“…<div><p>Despite the wide use of zebra finches as an animal model to study vocal learning and production, little is known about impacts on their welfare caused by routine experimental manipulations such as changing their social context. …”