| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
An efficiency framework for valence processing systems inspired by soft cross-wiring
|
Montague, P Read
|
|
2016
|
11 |
C |
p. 121-129
9 p.
|
article
|
| 2 |
A unified theoretical approach for biological cognition and learning
|
Komer, Brent
|
|
2016
|
11 |
C |
p. 14-20
7 p.
|
article
|
| 3 |
Challenges and promises for translating computational tools into clinical practice
|
Ahn, Woo-Young
|
|
2016
|
11 |
C |
p. 1-7
7 p.
|
article
|
| 4 |
Choice variability and suboptimality in uncertain environments
|
Wyart, Valentin
|
|
2016
|
11 |
C |
p. 109-115
7 p.
|
article
|
| 5 |
Circular inference: mistaken belief, misplaced trust
|
Denève, Sophie
|
|
2016
|
11 |
C |
p. 40-48
9 p.
|
article
|
| 6 |
Cognitive neuroscience of honesty and deception: a signaling framework
|
Jenkins, Adrianna C
|
|
2016
|
11 |
C |
p. 130-137
8 p.
|
article
|
| 7 |
Computational models as statistical tools
|
Durstewitz, Daniel
|
|
2016
|
11 |
C |
p. 93-99
7 p.
|
article
|
| 8 |
Computational models of eye movements and their application to schizophrenia
|
Heinzle, Jakob
|
|
2016
|
11 |
C |
p. 21-29
9 p.
|
article
|
| 9 |
Contents
|
|
|
2016
|
11 |
C |
p. iii-
1 p.
|
article
|
| 10 |
Does computational neuroscience need new synaptic learning paradigms?
|
Brea, Johanni
|
|
2016
|
11 |
C |
p. 61-66
6 p.
|
article
|
| 11 |
Editorial Board
|
|
|
2016
|
11 |
C |
p. i-
1 p.
|
article
|
| 12 |
Editorial overview: Computational modeling: After the Middle Ages of computational neuroscience
|
Dayan, Peter
|
|
2016
|
11 |
C |
p. v-vi
nvt p.
|
article
|
| 13 |
Minimum description length model selection in associative learning
|
Gallistel, C Randy
|
|
2016
|
11 |
C |
p. 8-13
6 p.
|
article
|
| 14 |
Olfactory object recognition, segmentation, adaptation, target seeking, and discrimination by the network of the olfactory bulb and cortex: computational model and experimental data
|
Zhaoping, Li
|
|
2016
|
11 |
C |
p. 30-39
10 p.
|
article
|
| 15 |
On the necessity of integrating multiple levels of abstraction in a single computational framework
|
van Rijn, Hedderik
|
|
2016
|
11 |
C |
p. 116-120
5 p.
|
article
|
| 16 |
Post-decisional accounts of biases in confidence
|
Navajas, Joaquin
|
|
2016
|
11 |
C |
p. 55-60
6 p.
|
article
|
| 17 |
Reinforcement learning with Marr
|
Niv, Yael
|
|
2016
|
11 |
C |
p. 67-73
7 p.
|
article
|
| 18 |
Searching for principles of brain computation
|
Maass, Wolfgang
|
|
2016
|
11 |
C |
p. 81-92
12 p.
|
article
|
| 19 |
Taming the beast: extracting generalizable knowledge from computational models of cognition
|
Nassar, Matthew R
|
|
2016
|
11 |
C |
p. 49-54
6 p.
|
article
|
| 20 |
Theoretical perspectives on active sensing
|
Yang, Scott Cheng-Hsin
|
|
2016
|
11 |
C |
p. 100-108
9 p.
|
article
|
| 21 |
Three challenges for connecting model to mechanism in decision-making
|
Churchland, Anne K
|
|
2016
|
11 |
C |
p. 74-80
7 p.
|
article
|
Journal description