Please note that all the documents made available
here are for non-commercial use only.
The copyright holders maintain the copyright and all rights.
Journal Articles
Howard IS, Franklin S & Franklin DW (2020)
Asymmetry in kinematic generalization between visual
and passive lead-in movements are consistent with a forward model in
the sensorimotor system
PLOS ONE
https://doi.org/10.1371/journal.pone.0228083
HowFraFraPLOSONE2020.pdf
Francis, K. B., Gummerum,
M., Ganis, G., Howard, I. S., & Terbeck, S. (2019).
Alcohol, empathy, and morality: acute effects of
alcohol consumption on affective empathy and moral decision-making
Psychopharmacology
Francis_et_al-2019-Psychopharmacology.pdf
Francis, K. B., Gummerum,
M., Ganis, G., Howard, I. S., & Terbeck, S. (2018).
Virtual morality in the helping professions:
Simulated action and resilience.
British
Journal of Psychology, 109(3),
442-465.
FrancisBjop.12276.pdf
Francis, K., Terbeck, S., Briazu, R., Haines, A., Gummerum,
M., Ganis, G. & Howard, I. S. (2017)
Simulating Moral Actions: An Investigation of
Personal Force in Virtual Moral Dilemmas.
Scientific
Reports | 7: 13954 | DOI:10.1038/s41598-017-13909-9
FraTerBriHaiGumGanHow2017.pdf
Howard IS, Ford C, Cangelosi
A & Franklin DW (2017)
Active lead-in variability affects motor memory
formation and slows motor learning
Scientific
Reports 7, Article number: 7806(2017)
doi:10.1038/s41598-017-05697-z
HowForCanFra_SR_2017.pdf
Example
media coverage:
Daily Mail
Medical Xpress
Francis KB, Howard C, Howard IS, Gummerum M, Ganis G,
Anderson G, Terbeck S. (2016)
Virtual Morality: Transitioning from Moral Judgment
to Moral Action?
PLoS ONE,
2016 Oct 10;11(10):e0164374. doi:
10.1371/journal.pone.0164374
FraHowHowGumGanAndTer_PO_2016.pdf
Example
media coverage:
Daily Mail
Medical Daily
Medical Xpress
Howard IS &
Franklin DW (2016)
Adaptive tuning
functions arise from visual observation of past movement
Scientific Reports 6, Article
number: 28416 (2016) doi:10.1038/srep28416
HowFra_SciRep_2016.pdf
Carroll TJ, de Rugy A,
Howard IS, Ingram JN & Wolpert DM
(2016)
Enhanced cross-limb transfer of force field learning for dynamics that
are identical in extrinsic and joint-based coordinates for both limbs
Journal of Neurophysiology
Carroll_et_al_2016.pdf
Messum P & Howard IS (2015)
Creating the cognitive form of phonological units:
the speech sound correspondence problem in infancy could be solved by
mirrored vocal interactions rather than by imitation
Journal
of Phonetics
MesHow_JoP_2015
Howard IS &
Franklin DW (2015)
Neural tuning
functions underlie both generalization and interference
PLoS ONE, 10(6), e0131268.
HowFra_PLOSONE_2015.pdf
Howard IS, Wolpert DM & Franklin DW (2015)
The value of the
follow-through derives from motor learning depending on future actions
(with corrected figures)
Current
Biology: doi:10.1016/j.cub.2014.12.037
HowWolFra_CB_2015.pdf
Supplementary
Material
Current
Biology Commentary by Miall RC, R106-8
Howard
IS & Messum P (2014)
Learning to
pronounce first words in three languages: an investigation of caregiver
and infant behavior using a computational model of an infant.
PLoS ONE 9(10): e110334. doi:10.1371/journal.pone.011033
HowMes_PLOSONE_2014.pdf
Supplementary
material
Howard IS, Wolpert DM & Franklin DW (2013)
The effect of
contextual cues on the encoding of motor memories
Journal of
Neurophysiology
HowWolFra_JNS_2013.pdf
Howard IS, Ingram JN, Franklin DW & Wolpert
DM (2012),
Gone in 0.6 seconds: The encoding of motor memories depends on recent
sensorimotor states,
Journal of Neuroscience 32(37):12756-12768.
HowIngFraWol_JNS_2012.pdf
Messum P & Howard IS (2012),
Speech Development: Toddlers Don't Mind Getting it Wrong,
Current Biology 22(5), R160–R161.
MesHow_CB_2012.pdf
Ingram JN, Howard
IS, Flanagan JR & Wolpert DM (2011),
A context-dependent multi-state learning process underlies rapid adaptation
to familiar object dynamics,
PLoS Computational Biology 7(9): e1002196.
IngHowFlaWol_PCB_2011.pdf
Howard IS, Ingram
JN & Wolpert DM (2011),
Separate representations of dynamics in rhythmic and discrete
movements: Evidence from motor learning,
Journal of
Neurophysiology 105, 1722-1731.
HowIngWol_JNP_2011.pdf
Supplementary
material
Howard IS & Messum P (2011),
Modeling the development of pronunciation in infant speech acquisition,
Motor Control 2011, 15, 85-117.
HowMes_MC_2011.pdf
Supplementary
material
Howard IS, Ingram
JN & Wolpert DM (2010),
Context dependent partitioning of motor learning in bimanual movements,
Journal of Neurophysiology 104,
2082-2091.
HowIngWol_JNP_2010.pdf
Supplementary
material
Ingram JN, Howard
IS, Flanagan JR & Wolpert DM (2010),
Multiple grasp-specific representations of tool dynamics mediate
skilful manipulation,
Current Biology 20(7): 618-623.
[IngHowFlaWol2010.pdf]
Supplementary
information for paper
Howard IS, Ingram
JN, Körding KP & Wolpert
DM (2009),
The statistics of natural movements are reflected in motor errors,
Journal of Neurophysiology 102
(3), 1902-1910.
HowIngKorWol2009.pdf
Supplementary
material
Howard IS, Ingram
JN & Wolpert DM (2009),
A modular planar robotic manipulandum with
end-point torque control,
Journal of Neuroscience Methods
181, 199-211.
HowardJNM2009.pdf
Supplementary
material
Howard IS, Ingram
JN & Wolpert DM (2008),
Composition and decomposition in bimanual dynamic learning,
Journal of Neuroscience 28
(42): 10531-10540.
HowIngWol08.pdf
Ingram JN,Körding KP, Howard IS, Wolpert DM (2008),
The statistics of natural hand movements,
Experimental Brain Research,
Volume 188, Number 2 / June, 2008.
IngKorHowWol2008.pdf
Howard IS & Huckvale MA (2005),
Learning to Control an Articulator Synthesizer by Imitating Real
Speech,
ZAS Papers in Linguistics 40,
2005: 63-78,
Berlin, Germany.
HowHucZAS05.pdf
Körding KP, Fukunaga
IS, Howard I, Ingram JN & Wolpert DM
(2004),
A neuroeconomics approach to inferring
utility functions in sensorimotor control,
Public Library of Science:
Biology 2(10) e330.
PLOS2004Kording
Walliker JR & Howard IS (1990),
Real-time portable multi-layer perceptron voice fundamental-period
extractor for hearing aids and cochlear implants,
Speech Communication 9,
Elsevier Science Publishers B.V (North Holland), pp63-71.
[WalHow90.pdf]
Conference Proceedings
Howard IS (2020), Speech fundamental period estimation using a neural network
ESSV 2020
Magdeburg, Germany.
ESSV2020Howard.pdf
Howard IS (2019), A
modular 3D-printed inverted pendulum.
K. Althoefer et al. (Eds.): TAROS 2019, LNAI 11649, pp.
1–12, 2019.
HowTaros2019.pdf
SupplementaryMaterial
Howard IS & Birkholz P (2019)
Modeling Vowel
Acquisition using the Birkholz Synthesizer
ESSV 2019
Dresden, Germany.
HowBir_ESSV_2019.pdf
Howard, I. S.,
Franklin, S., & Franklin, D. W. (2018).
Characterization of
Neural Tuning: Visual Lead-in Movements Generalize in Speed and
Distance.
In International
Conference on NeuroRehabilitation (pp.
1030-1033). Springer, Cham.
HowFraFraIEEE_2018.pdf
Howard IS & Birkholz P (2018)
Using state
feedback to control an articulatory synthesizer
ESSV 2018 Ulm,
Germany.
HowBir_ESSV_2018.pdf
Howard IS (2017),
Robotic actuation of a 2D mechanical vocal tract,
ESSV 2017 Saarbrücken, Germany.
HowardESSV2017.pdf
ESSV2017SupMat
Howard IS (2016),
Towards a mechanical vocal apparatus for vowel production,
ESSV 2016 Leipzig, Germany.
HowardESSV2016.pdf
ESSV2016LeipzigSupMat
Howard IS & Messum P,
Modelling caregiver tutored development of pronunciation in a
young child,
In: Kröger
BJ, Birkholz P (eds.) Studientexte zur Sprachkommunikation: Elektronische
Sprachsignalverarbeitung (TUDpress,
Dresden, Germany), pp.75-82.
HowMesExpESSV2011.pdf
Howard IS & Messum P,
The computational Architecture of Elija: A model of a young child
that learns to pronounce,
In: Kröger
BJ, Birkholz P (eds.) Studientexte
zur Sprachkommunikation:
Elektronische Sprachsignalverarbeitung
(TUDpress, Dresden, Germany), pp.138-145.
HowMesMethESSV2011.pdf
Zacharias F, Howard
IS, Hulin T, Hirzinger
G (2010),
Workspace Comparisons of Setup Configurations for Human-Robot
Interaction,
Proc. IEEE/RSJ International
Conference on Intelligent Robots and Systems, pp. 3117 – 3122.
ZacHowHulHir_IROS_2010.pdf
Howard IS (2009),
Building machines that learn to speak the way infants do,
Acorns Workshop 11th September,
Interspeech Brighton 2009.
PositionStatementISH.pdf
Huckvale MA, Howard IS, Fagel S (2009),
KLAIR: a Virtual Infant for Spoken Language Acquisition Research,
Interspeech Brighton 2009.
HucHowFag2009.pdf
Howard IS & Messum P, (2008),
Modelling motor pattern generation in the development of infant speech
production,
In: 8th International Seminar
on Speech Production – (ISSP'08), edited by Sock R, Fuchs S, and Laprie Y. Strasbourg, France: INRIA 2008,
pp.165-168.
HowMesISSP2008.pdf
Howard IS &Messum P (2007),
A Computational Model of Infant Speech Development,
In: XII International Conference "Speech and Computer"
(SPECOM'2007). Moscow, Russia: Moscow State Linguistics
University, 2007, pp. 756-765
Specom2007.pdf
Howard IS & Huckvale MA (2005),
Training a Vocal Tract Synthesizer to Imitate Speech using Distal
Supervised Learning,
In: 10th International
Conference on Speech and Computer (SPECOM'2005). University of Patras, Patras, Greece,
2005, pp.159–162.
Specom2005.pdf
Supplementary
information for paper
Huckvale MA & Howard IS (2005),
Teaching a vocal tract simulation to imitate stop consonants,
Interspeech Lisbon 2005 Portugal, pp. 3213-3216.
eurosp2005huckvale.pdf
I S Howard, (1991),
Further
developments of a neural network speech fundamental period estimation
algorithm,
2nd International Conference,
Artificial Neural Networks, November 1991, Bournemouth, England.
[How91.pdf]
I S HOWARD, (1990),
Two-level word recognition using the multi-layer perceptron,
Proc. IOA, Windemere, 1990.
[How90.pdf]
I S Howard & M
A Huckvale, (1989),
Two level
recognition of isolated words using neural nets,
First IEE
conference on Artificial Neural Networks, London.
[HowHuc89.pdf]
Howard IS & Huckvale MA, (1988),
Speech fundamental period estimation using a trainable pattern
classifier,
FASE88.
[HowHuc88a.pdf]
I S Howard & M A Huckvale, (1988),
Acoustic phonetic attribute determination using multi-layer perceptrons, IEE colloquium digest 11.
[HowHuc88b.pdf]
I S HOWARD & M A Huckvale, (1988),
Training feature detectors for use in automatic speech recognition,
FASE88.
[HowHuc88c.pdf]
I S Howard & M A Huckvale (1987),
The application of adaptive constraint satisfaction networks to
acoustic phonetic attribute determination, Proc. Euro. Confr. Sp. Tech.
[HowHuc87.pdf]
Howard IS &
Howard DM (1986),
Quantitative comparisons between time domain speech fundamental
frequency estimation algorithms,
Proc. IOA, Vol
8, pp323-330.
[HowHow86.pdf]
PhD Thesis
Howard
IS,
Speech fundamental period estimation using pattern classification,
PhD thesis, University of London, [HowPhD.pdf]
Reports
I S Howard, (1991),
Speech fundamental
period estimation using pattern classification, Speech, Hearing &
Language,
Work in progress,
Volume 5, University college London, Department of Phonetics and
Linguistics, 1991.
[HowSHL91.pdf]
I S Howard, (1990),
Experiments with modular and two-level training of multi-layer perceptrons for isolated word recognition,
Speech, Hearing & Language, Work in progress, Volume 4,
University college London, Department of Phonetics and Linguistics,
1990.
[HowSHL90.pdf]
Miscellaneous
Articles
Howard
IS (2014)
7-Step
Guide: Writing a research article for journal publication
ArticleWritingGuide_ISH_2014.pdf
Howard
IS (2014)
7-Step
Guide to Screencasting
ScreencastingGuide_ISH_2014.pdf
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