---
_id: '678'
abstract:
- lang: eng
text: The seminal observation that mechanical signals can elicit changes in biochemical
signalling within cells, a process commonly termed mechanosensation and mechanotransduction,
has revolutionized our understanding of the role of cell mechanics in various
fundamental biological processes, such as cell motility, adhesion, proliferation
and differentiation. In this Review, we will discuss how the interplay and feedback
between mechanical and biochemical signals control tissue morphogenesis and cell
fate specification in embryonic development.
author:
- first_name: Nicoletta
full_name: Petridou, Nicoletta
id: 2A003F6C-F248-11E8-B48F-1D18A9856A87
last_name: Petridou
orcid: 0000-0002-8451-1195
- first_name: Zoltan P
full_name: Spiro, Zoltan P
id: 426AD026-F248-11E8-B48F-1D18A9856A87
last_name: Spiro
- first_name: Carl-Philipp J
full_name: Heisenberg, Carl-Philipp J
id: 39427864-F248-11E8-B48F-1D18A9856A87
last_name: Heisenberg
orcid: 0000-0002-0912-4566
citation:
ama: Petridou N, Spiro ZP, Heisenberg C-PJ. Multiscale force sensing in development.
Nature Cell Biology. 2017;19(6):581-588. doi:10.1038/ncb3524
apa: Petridou, N., Spiro, Z. P., & Heisenberg, C.-P. J. (2017). Multiscale force
sensing in development. Nature Cell Biology. Nature Publishing Group. https://doi.org/10.1038/ncb3524
chicago: Petridou, Nicoletta, Zoltan P Spiro, and Carl-Philipp J Heisenberg. “Multiscale
Force Sensing in Development.” Nature Cell Biology. Nature Publishing Group,
2017. https://doi.org/10.1038/ncb3524.
ieee: N. Petridou, Z. P. Spiro, and C.-P. J. Heisenberg, “Multiscale force sensing
in development,” Nature Cell Biology, vol. 19, no. 6. Nature Publishing
Group, pp. 581–588, 2017.
ista: Petridou N, Spiro ZP, Heisenberg C-PJ. 2017. Multiscale force sensing in development.
Nature Cell Biology. 19(6), 581–588.
mla: Petridou, Nicoletta, et al. “Multiscale Force Sensing in Development.” Nature
Cell Biology, vol. 19, no. 6, Nature Publishing Group, 2017, pp. 581–88, doi:10.1038/ncb3524.
short: N. Petridou, Z.P. Spiro, C.-P.J. Heisenberg, Nature Cell Biology 19 (2017)
581–588.
date_created: 2018-12-11T11:47:53Z
date_published: 2017-05-31T00:00:00Z
date_updated: 2021-01-12T08:08:59Z
day: '31'
department:
- _id: CaHe
doi: 10.1038/ncb3524
intvolume: ' 19'
issue: '6'
language:
- iso: eng
month: '05'
oa_version: None
page: 581 - 588
project:
- _id: 25236028-B435-11E9-9278-68D0E5697425
grant_number: ALTF534-2016
name: The generation and function of anisotropic tissue tension in zebrafish epiboly
(EMBO Fellowship)
publication: Nature Cell Biology
publication_identifier:
issn:
- '14657392'
publication_status: published
publisher: Nature Publishing Group
publist_id: '7040'
quality_controlled: '1'
scopus_import: 1
status: public
title: Multiscale force sensing in development
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 19
year: '2017'
...
---
_id: '681'
abstract:
- lang: eng
text: Two-player games on graphs provide the theoretical framework for many important
problems such as reactive synthesis. While the traditional study of two-player
zero-sum games has been extended to multi-player games with several notions of
equilibria, they are decidable only for perfect-information games, whereas several
applications require imperfect-information. In this paper we propose a new notion
of equilibria, called doomsday equilibria, which is a strategy profile where all
players satisfy their own objective, and if any coalition of players deviates
and violates even one of the players' objective, then the objective of every player
is violated. We present algorithms and complexity results for deciding the existence
of doomsday equilibria for various classes of ω-regular objectives, both for imperfect-information
games, and for perfect-information games. We provide optimal complexity bounds
for imperfect-information games, and in most cases for perfect-information games.
article_processing_charge: No
article_type: original
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Laurent
full_name: Doyen, Laurent
last_name: Doyen
- first_name: Emmanuel
full_name: Filiot, Emmanuel
last_name: Filiot
- first_name: Jean
full_name: Raskin, Jean
last_name: Raskin
citation:
ama: Chatterjee K, Doyen L, Filiot E, Raskin J. Doomsday equilibria for omega-regular
games. Information and Computation. 2017;254:296-315. doi:10.1016/j.ic.2016.10.012
apa: Chatterjee, K., Doyen, L., Filiot, E., & Raskin, J. (2017). Doomsday equilibria
for omega-regular games. Information and Computation. Elsevier. https://doi.org/10.1016/j.ic.2016.10.012
chicago: Chatterjee, Krishnendu, Laurent Doyen, Emmanuel Filiot, and Jean Raskin.
“Doomsday Equilibria for Omega-Regular Games.” Information and Computation.
Elsevier, 2017. https://doi.org/10.1016/j.ic.2016.10.012.
ieee: K. Chatterjee, L. Doyen, E. Filiot, and J. Raskin, “Doomsday equilibria for
omega-regular games,” Information and Computation, vol. 254. Elsevier,
pp. 296–315, 2017.
ista: Chatterjee K, Doyen L, Filiot E, Raskin J. 2017. Doomsday equilibria for omega-regular
games. Information and Computation. 254, 296–315.
mla: Chatterjee, Krishnendu, et al. “Doomsday Equilibria for Omega-Regular Games.”
Information and Computation, vol. 254, Elsevier, 2017, pp. 296–315, doi:10.1016/j.ic.2016.10.012.
short: K. Chatterjee, L. Doyen, E. Filiot, J. Raskin, Information and Computation
254 (2017) 296–315.
date_created: 2018-12-11T11:47:53Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2023-02-21T16:06:02Z
day: '01'
department:
- _id: KrCh
doi: 10.1016/j.ic.2016.10.012
ec_funded: 1
external_id:
arxiv:
- '1311.3238'
intvolume: ' 254'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1311.3238
month: '06'
oa: 1
oa_version: Submitted Version
page: 296 - 315
project:
- _id: 2584A770-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 23499-N23
name: Modern Graph Algorithmic Techniques in Formal Verification
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Information and Computation
publication_identifier:
issn:
- '08905401'
publication_status: published
publisher: Elsevier
publist_id: '7036'
quality_controlled: '1'
related_material:
record:
- id: '10885'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Doomsday equilibria for omega-regular games
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 254
year: '2017'
...
---
_id: '6841'
abstract:
- lang: eng
text: In classical machine learning, regression is treated as a black box process
of identifying a suitable function from a hypothesis set without attempting to
gain insight into the mechanism connecting inputs and outputs. In the natural
sciences, however, finding an interpretable function for a phenomenon is the prime
goal as it allows to understand and generalize results. This paper proposes a
novel type of function learning network, called equation learner (EQL), that can
learn analytical expressions and is able to extrapolate to unseen domains. It
is implemented as an end-to-end differentiable feed-forward network and allows
for efficient gradient based training. Due to sparsity regularization concise
interpretable expressions can be obtained. Often the true underlying source expression
is identified.
author:
- first_name: Georg S
full_name: Martius, Georg S
id: 3A276B68-F248-11E8-B48F-1D18A9856A87
last_name: Martius
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: 'Martius GS, Lampert C. Extrapolation and learning equations. In: 5th International
Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings.
International Conference on Learning Representations; 2017.'
apa: 'Martius, G. S., & Lampert, C. (2017). Extrapolation and learning equations.
In 5th International Conference on Learning Representations, ICLR 2017 - Workshop
Track Proceedings. Toulon, France: International Conference on Learning Representations.'
chicago: Martius, Georg S, and Christoph Lampert. “Extrapolation and Learning Equations.”
In 5th International Conference on Learning Representations, ICLR 2017 - Workshop
Track Proceedings. International Conference on Learning Representations, 2017.
ieee: G. S. Martius and C. Lampert, “Extrapolation and learning equations,” in 5th
International Conference on Learning Representations, ICLR 2017 - Workshop Track
Proceedings, Toulon, France, 2017.
ista: 'Martius GS, Lampert C. 2017. Extrapolation and learning equations. 5th International
Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings.
ICLR: International Conference on Learning Representations.'
mla: Martius, Georg S., and Christoph Lampert. “Extrapolation and Learning Equations.”
5th International Conference on Learning Representations, ICLR 2017 - Workshop
Track Proceedings, International Conference on Learning Representations, 2017.
short: G.S. Martius, C. Lampert, in:, 5th International Conference on Learning Representations,
ICLR 2017 - Workshop Track Proceedings, International Conference on Learning Representations,
2017.
conference:
end_date: 2017-04-26
location: Toulon, France
name: 'ICLR: International Conference on Learning Representations'
start_date: 2017-04-24
date_created: 2019-09-01T22:01:00Z
date_published: 2017-02-21T00:00:00Z
date_updated: 2021-01-12T08:09:17Z
day: '21'
department:
- _id: ChLa
ec_funded: 1
external_id:
arxiv:
- '1610.02995'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1610.02995
month: '02'
oa: 1
oa_version: Preprint
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '308036'
name: Lifelong Learning of Visual Scene Understanding
publication: 5th International Conference on Learning Representations, ICLR 2017 -
Workshop Track Proceedings
publication_status: published
publisher: International Conference on Learning Representations
quality_controlled: '1'
scopus_import: 1
status: public
title: Extrapolation and learning equations
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
year: '2017'
...
---
_id: '684'
abstract:
- lang: eng
text: We generalize winning conditions in two-player games by adding a structural
acceptance condition called obligations. Obligations are orthogonal to the linear
winning conditions that define whether a play is winning. Obligations are a declaration
that player 0 can achieve a certain value from a configuration. If the obligation
is met, the value of that configuration for player 0 is 1. We define the value
in such games and show that obligation games are determined. For Markov chains
with Borel objectives and obligations, and finite turn-based stochastic parity
games with obligations we give an alternative and simpler characterization of
the value function. Based on this simpler definition we show that the decision
problem of winning finite turn-based stochastic parity games with obligations
is in NP∩co-NP. We also show that obligation games provide a game framework for
reasoning about p-automata. © 2017 The Association for Symbolic Logic.
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Nir
full_name: Piterman, Nir
last_name: Piterman
citation:
ama: Chatterjee K, Piterman N. Obligation blackwell games and p-automata. Journal
of Symbolic Logic. 2017;82(2):420-452. doi:10.1017/jsl.2016.71
apa: Chatterjee, K., & Piterman, N. (2017). Obligation blackwell games and p-automata.
Journal of Symbolic Logic. Cambridge University Press. https://doi.org/10.1017/jsl.2016.71
chicago: Chatterjee, Krishnendu, and Nir Piterman. “Obligation Blackwell Games and
P-Automata.” Journal of Symbolic Logic. Cambridge University Press, 2017.
https://doi.org/10.1017/jsl.2016.71.
ieee: K. Chatterjee and N. Piterman, “Obligation blackwell games and p-automata,”
Journal of Symbolic Logic, vol. 82, no. 2. Cambridge University Press,
pp. 420–452, 2017.
ista: Chatterjee K, Piterman N. 2017. Obligation blackwell games and p-automata.
Journal of Symbolic Logic. 82(2), 420–452.
mla: Chatterjee, Krishnendu, and Nir Piterman. “Obligation Blackwell Games and P-Automata.”
Journal of Symbolic Logic, vol. 82, no. 2, Cambridge University Press,
2017, pp. 420–52, doi:10.1017/jsl.2016.71.
short: K. Chatterjee, N. Piterman, Journal of Symbolic Logic 82 (2017) 420–452.
date_created: 2018-12-11T11:47:54Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2021-04-16T12:10:53Z
day: '01'
department:
- _id: KrCh
doi: 10.1017/jsl.2016.71
intvolume: ' 82'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1206.5174
month: '06'
oa: 1
oa_version: Submitted Version
page: 420 - 452
publication: Journal of Symbolic Logic
publication_identifier:
eissn:
- 1943-5886
issn:
- 0022-4812
publication_status: published
publisher: Cambridge University Press
publist_id: '7026'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Obligation blackwell games and p-automata
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 82
year: '2017'
...
---
_id: '685'
abstract:
- lang: eng
text: By applying methods and principles from the physical sciences to biological
problems, D'Arcy Thompson's On Growth and Form demonstrated how mathematical reasoning
reveals elegant, simple explanations for seemingly complex processes. This has
had a profound influence on subsequent generations of developmental biologists.
We discuss how this influence can be traced through twentieth century morphologists,
embryologists and theoreticians to current research that explores the molecular
and cellular mechanisms of tissue growth and patterning, including our own studies
of the vertebrate neural tube.
author:
- first_name: James
full_name: Briscoe, James
last_name: Briscoe
- first_name: Anna
full_name: Kicheva, Anna
id: 3959A2A0-F248-11E8-B48F-1D18A9856A87
last_name: Kicheva
orcid: 0000-0003-4509-4998
citation:
ama: Briscoe J, Kicheva A. The physics of development 100 years after D’Arcy Thompson’s
“on growth and form.” Mechanisms of Development. 2017;145:26-31. doi:10.1016/j.mod.2017.03.005
apa: Briscoe, J., & Kicheva, A. (2017). The physics of development 100 years
after D’Arcy Thompson’s “on growth and form.” Mechanisms of Development.
Elsevier. https://doi.org/10.1016/j.mod.2017.03.005
chicago: Briscoe, James, and Anna Kicheva. “The Physics of Development 100 Years
after D’Arcy Thompson’s ‘on Growth and Form.’” Mechanisms of Development.
Elsevier, 2017. https://doi.org/10.1016/j.mod.2017.03.005.
ieee: J. Briscoe and A. Kicheva, “The physics of development 100 years after D’Arcy
Thompson’s ‘on growth and form,’” Mechanisms of Development, vol. 145.
Elsevier, pp. 26–31, 2017.
ista: Briscoe J, Kicheva A. 2017. The physics of development 100 years after D’Arcy
Thompson’s “on growth and form”. Mechanisms of Development. 145, 26–31.
mla: Briscoe, James, and Anna Kicheva. “The Physics of Development 100 Years after
D’Arcy Thompson’s ‘on Growth and Form.’” Mechanisms of Development, vol.
145, Elsevier, 2017, pp. 26–31, doi:10.1016/j.mod.2017.03.005.
short: J. Briscoe, A. Kicheva, Mechanisms of Development 145 (2017) 26–31.
date_created: 2018-12-11T11:47:55Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2021-01-12T08:09:20Z
day: '01'
ddc:
- '571'
department:
- _id: AnKi
doi: 10.1016/j.mod.2017.03.005
ec_funded: 1
external_id:
pmid:
- '28366718'
file:
- access_level: open_access
checksum: 727043d2e4199fbef6b3704e6d1ac105
content_type: application/pdf
creator: dernst
date_created: 2019-04-17T07:58:48Z
date_updated: 2020-07-14T12:47:42Z
file_id: '6335'
file_name: 2017_Briscoe_Kicheva_and_DArcy_accepted_version.pdf
file_size: 652313
relation: main_file
file_date_updated: 2020-07-14T12:47:42Z
has_accepted_license: '1'
intvolume: ' 145'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Submitted Version
page: 26 - 31
pmid: 1
project:
- _id: B6FC0238-B512-11E9-945C-1524E6697425
call_identifier: H2020
grant_number: '680037'
name: Coordination of Patterning And Growth In the Spinal Cord
publication: Mechanisms of Development
publication_identifier:
issn:
- '09254773'
publication_status: published
publisher: Elsevier
publist_id: '7025'
pubrep_id: '985'
quality_controlled: '1'
scopus_import: 1
status: public
title: The physics of development 100 years after D'Arcy Thompson's “on growth and
form”
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 145
year: '2017'
...