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Pain, decisions, and actions: a motivational perspective.

Frontiers in neuroscience

Wiech K, Tracey I.
PMID: 23565073
Front Neurosci. 2013 Apr 02;7:46. doi: 10.3389/fnins.2013.00046. eCollection 2013.

Because pain signals potential harm to the organism, it immediately attracts attention and motivates decisions and action. However, pain is also subject to motivations-an aspect that has led to considerable changes in our understanding of (chronic) pain over the...

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Wiech K, Tracey I. Pain, decisions, and actions: a motivational perspective. Front Neurosci. 2013;7:46doi: 10.3389/fnins.2013.00046.
Wiech, K., & Tracey, I. (2013). Pain, decisions, and actions: a motivational perspective. Frontiers in neuroscience, 746. https://doi.org/10.3389/fnins.2013.00046
Wiech, Katja, and Tracey, Irene. "Pain, decisions, and actions: a motivational perspective." Frontiers in neuroscience vol. 7 (2013): 46. doi: https://doi.org/10.3389/fnins.2013.00046
Wiech K, Tracey I. Pain, decisions, and actions: a motivational perspective. Front Neurosci. 2013 Apr 02;7:46. doi: 10.3389/fnins.2013.00046. eCollection 2013. PMID: 23565073; PMCID: PMC3613600.
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Merging functional and structural properties of the monkey auditory cortex.

Frontiers in neuroscience

Joly O, Baumann S, Balezeau F, Thiele A, Griffiths TD.
PMID: 25100930
Front Neurosci. 2014 Jul 21;8:198. doi: 10.3389/fnins.2014.00198. eCollection 2014.

Recent neuroimaging studies in primates aim to define the functional properties of auditory cortical areas, especially areas beyond A1, in order to further our understanding of the auditory cortical organization. Precise mapping of functional magnetic resonance imaging (fMRI) results...

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Joly O, Baumann S, Balezeau F, et al. Merging functional and structural properties of the monkey auditory cortex. Front Neurosci. 2014;8:198doi: 10.3389/fnins.2014.00198.
Joly, O., Baumann, S., Balezeau, F., Thiele, A., & Griffiths, T. D. (2014). Merging functional and structural properties of the monkey auditory cortex. Frontiers in neuroscience, 8198. https://doi.org/10.3389/fnins.2014.00198
Joly, Olivier, et al. "Merging functional and structural properties of the monkey auditory cortex." Frontiers in neuroscience vol. 8 (2014): 198. doi: https://doi.org/10.3389/fnins.2014.00198
Joly O, Baumann S, Balezeau F, Thiele A, Griffiths TD. Merging functional and structural properties of the monkey auditory cortex. Front Neurosci. 2014 Jul 21;8:198. doi: 10.3389/fnins.2014.00198. eCollection 2014. PMID: 25100930; PMCID: PMC4104553.
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Fluorescent visualization of oxytocin in the hypothalamo-neurohypophysial system.

Frontiers in neuroscience

Hashimoto H, Matsuura T, Ueta Y.
PMID: 25100939
Front Neurosci. 2014 Jul 23;8:213. doi: 10.3389/fnins.2014.00213. eCollection 2014.

Oxytocin (OXT) is well known for its ability to the milk ejection reflex and uterine contraction. It is also involved in several other behaviors, such as anti-nociception, anxiety, feeding, social recognition, and stress responses. OXT is synthesized in the...

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Hashimoto H, Matsuura T, Ueta Y. Fluorescent visualization of oxytocin in the hypothalamo-neurohypophysial system. Front Neurosci. 2014;8:213doi: 10.3389/fnins.2014.00213.
Hashimoto, H., Matsuura, T., & Ueta, Y. (2014). Fluorescent visualization of oxytocin in the hypothalamo-neurohypophysial system. Frontiers in neuroscience, 8213. https://doi.org/10.3389/fnins.2014.00213
Hashimoto, Hirofumi, et al. "Fluorescent visualization of oxytocin in the hypothalamo-neurohypophysial system." Frontiers in neuroscience vol. 8 (2014): 213. doi: https://doi.org/10.3389/fnins.2014.00213
Hashimoto H, Matsuura T, Ueta Y. Fluorescent visualization of oxytocin in the hypothalamo-neurohypophysial system. Front Neurosci. 2014 Jul 23;8:213. doi: 10.3389/fnins.2014.00213. eCollection 2014. PMID: 25100939; PMCID: PMC4107947.
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Auditory category knowledge in experts and novices.

Frontiers in neuroscience

Heald SL, Van Hedger SC, Nusbaum HC.
PMID: 25202232
Front Neurosci. 2014 Aug 22;8:260. doi: 10.3389/fnins.2014.00260. eCollection 2014.

What do listeners know about sounds that have a systematic organization? Research suggests that listeners store absolute pitch information as part of their representations for specific auditory experiences. It is unclear however, if such knowledge is abstracted beyond these...

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Heald SL, Van Hedger SC, Nusbaum HC. Auditory category knowledge in experts and novices. Front Neurosci. 2014;8:260doi: 10.3389/fnins.2014.00260.
Heald, S. L., Van Hedger, S. C., & Nusbaum, H. C. (2014). Auditory category knowledge in experts and novices. Frontiers in neuroscience, 8260. https://doi.org/10.3389/fnins.2014.00260
Heald, Shannon L M, et al. "Auditory category knowledge in experts and novices." Frontiers in neuroscience vol. 8 (2014): 260. doi: https://doi.org/10.3389/fnins.2014.00260
Heald SL, Van Hedger SC, Nusbaum HC. Auditory category knowledge in experts and novices. Front Neurosci. 2014 Aug 22;8:260. doi: 10.3389/fnins.2014.00260. eCollection 2014. PMID: 25202232; PMCID: PMC4141216.
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DNA Methylation Profiling at Single-Base Resolution Reveals Gestational Folic Acid Supplementation Influences the Epigenome of Mouse Offspring Cerebellum.

Frontiers in neuroscience

Barua S, Kuizon S, Brown WT, Junaid MA.
PMID: 27199632
Front Neurosci. 2016 May 03;10:168. doi: 10.3389/fnins.2016.00168. eCollection 2016.

It is becoming increasingly more evident that lifestyle, environmental factors, and maternal nutrition during gestation can influence the epigenome of the developing fetus and thus modulate the physiological outcome. Variations in the intake of maternal nutrients affecting one-carbon metabolism...

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Barua S, Kuizon S, Brown WT, et al. DNA Methylation Profiling at Single-Base Resolution Reveals Gestational Folic Acid Supplementation Influences the Epigenome of Mouse Offspring Cerebellum. Front Neurosci. 2016;10:168doi: 10.3389/fnins.2016.00168.
Barua, S., Kuizon, S., Brown, W. T., & Junaid, M. A. (2016). DNA Methylation Profiling at Single-Base Resolution Reveals Gestational Folic Acid Supplementation Influences the Epigenome of Mouse Offspring Cerebellum. Frontiers in neuroscience, 10168. https://doi.org/10.3389/fnins.2016.00168
Barua, Subit, et al. "DNA Methylation Profiling at Single-Base Resolution Reveals Gestational Folic Acid Supplementation Influences the Epigenome of Mouse Offspring Cerebellum." Frontiers in neuroscience vol. 10 (2016): 168. doi: https://doi.org/10.3389/fnins.2016.00168
Barua S, Kuizon S, Brown WT, Junaid MA. DNA Methylation Profiling at Single-Base Resolution Reveals Gestational Folic Acid Supplementation Influences the Epigenome of Mouse Offspring Cerebellum. Front Neurosci. 2016 May 03;10:168. doi: 10.3389/fnins.2016.00168. eCollection 2016. PMID: 27199632; PMCID: PMC4854024.
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Skimming Digits: Neuromorphic Classification of Spike-Encoded Images.

Frontiers in neuroscience

Cohen GK, Orchard G, Leng SH, Tapson J, Benosman RB, van Schaik A.
PMID: 27199646
Front Neurosci. 2016 Apr 28;10:184. doi: 10.3389/fnins.2016.00184. eCollection 2016.

The growing demands placed upon the field of computer vision have renewed the focus on alternative visual scene representations and processing paradigms. Silicon retinea provide an alternative means of imaging the visual environment, and produce frame-free spatio-temporal data. This...

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Cohen GK, Orchard G, Leng SH, et al. Skimming Digits: Neuromorphic Classification of Spike-Encoded Images. Front Neurosci. 2016;10:184doi: 10.3389/fnins.2016.00184.
Cohen, G. K., Orchard, G., Leng, S. H., Tapson, J., Benosman, R. B., & van Schaik, A. (2016). Skimming Digits: Neuromorphic Classification of Spike-Encoded Images. Frontiers in neuroscience, 10184. https://doi.org/10.3389/fnins.2016.00184
Cohen, Gregory K, et al. "Skimming Digits: Neuromorphic Classification of Spike-Encoded Images." Frontiers in neuroscience vol. 10 (2016): 184. doi: https://doi.org/10.3389/fnins.2016.00184
Cohen GK, Orchard G, Leng SH, Tapson J, Benosman RB, van Schaik A. Skimming Digits: Neuromorphic Classification of Spike-Encoded Images. Front Neurosci. 2016 Apr 28;10:184. doi: 10.3389/fnins.2016.00184. eCollection 2016. PMID: 27199646; PMCID: PMC4848313.
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Metabolic Covariant Network in Relation to Nigrostriatal Degeneration in Carbon Monoxide Intoxication-Related Parkinsonism.

Frontiers in neuroscience

Chang CC, Hsu JL, Chang WN, Huang SH, Huang CW, Chang YT, Chen NC, Lui CC, Lee CC, Hsu SW.
PMID: 27199649
Front Neurosci. 2016 May 03;10:187. doi: 10.3389/fnins.2016.00187. eCollection 2016.

Presence of parkinsonian features after carbon monoxide (CO) intoxication is well known and the severity was found to relate to the pre-synaptic dopaminergic deficits. There is no systemic study to analyse the functional network involved in CO-related Parkinsonism. Forty-five...

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Chang CC, Hsu JL, Chang WN, et al. Metabolic Covariant Network in Relation to Nigrostriatal Degeneration in Carbon Monoxide Intoxication-Related Parkinsonism. Front Neurosci. 2016;10:187doi: 10.3389/fnins.2016.00187.
Chang, C. C., Hsu, J. L., Chang, W. N., Huang, S. H., Huang, C. W., Chang, Y. T., Chen, N. C., Lui, C. C., Lee, C. C., & Hsu, S. W. (2016). Metabolic Covariant Network in Relation to Nigrostriatal Degeneration in Carbon Monoxide Intoxication-Related Parkinsonism. Frontiers in neuroscience, 10187. https://doi.org/10.3389/fnins.2016.00187
Chang, Chiung-Chih, et al. "Metabolic Covariant Network in Relation to Nigrostriatal Degeneration in Carbon Monoxide Intoxication-Related Parkinsonism." Frontiers in neuroscience vol. 10 (2016): 187. doi: https://doi.org/10.3389/fnins.2016.00187
Chang CC, Hsu JL, Chang WN, Huang SH, Huang CW, Chang YT, Chen NC, Lui CC, Lee CC, Hsu SW. Metabolic Covariant Network in Relation to Nigrostriatal Degeneration in Carbon Monoxide Intoxication-Related Parkinsonism. Front Neurosci. 2016 May 03;10:187. doi: 10.3389/fnins.2016.00187. eCollection 2016. PMID: 27199649; PMCID: PMC4853409.
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Dynamic connectivity detection: an algorithm for determining functional connectivity change points in fMRI data.

Frontiers in neuroscience

Xu Y, Lindquist MA.
PMID: 26388711
Front Neurosci. 2015 Sep 04;9:285. doi: 10.3389/fnins.2015.00285. eCollection 2015.

Recently there has been an increased interest in using fMRI data to study the dynamic nature of brain connectivity. In this setting, the activity in a set of regions of interest (ROIs) is often modeled using a multivariate Gaussian...

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Xu Y, Lindquist MA. Dynamic connectivity detection: an algorithm for determining functional connectivity change points in fMRI data. Front Neurosci. 2015;9:285doi: 10.3389/fnins.2015.00285.
Xu, Y., & Lindquist, M. A. (2015). Dynamic connectivity detection: an algorithm for determining functional connectivity change points in fMRI data. Frontiers in neuroscience, 9285. https://doi.org/10.3389/fnins.2015.00285
Xu, Yuting, and Lindquist, Martin A. "Dynamic connectivity detection: an algorithm for determining functional connectivity change points in fMRI data." Frontiers in neuroscience vol. 9 (2015): 285. doi: https://doi.org/10.3389/fnins.2015.00285
Xu Y, Lindquist MA. Dynamic connectivity detection: an algorithm for determining functional connectivity change points in fMRI data. Front Neurosci. 2015 Sep 04;9:285. doi: 10.3389/fnins.2015.00285. eCollection 2015. PMID: 26388711; PMCID: PMC4560110.
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Growth factor choice is critical for successful functionalization of nanoparticles.

Frontiers in neuroscience

Pinkernelle J, Raffa V, Calatayud MP, Goya GF, Riggio C, Keilhoff G.
PMID: 26388717
Front Neurosci. 2015 Sep 02;9:305. doi: 10.3389/fnins.2015.00305. eCollection 2015.

Nanoparticles (NPs) show new characteristics compared to the corresponding bulk material. These nanoscale properties make them interesting for various applications in biomedicine and life sciences. One field of application is the use of magnetic NPs to support regeneration in...

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Pinkernelle J, Raffa V, Calatayud MP, et al. Growth factor choice is critical for successful functionalization of nanoparticles. Front Neurosci. 2015;9:305doi: 10.3389/fnins.2015.00305.
Pinkernelle, J., Raffa, V., Calatayud, M. P., Goya, G. F., Riggio, C., & Keilhoff, G. (2015). Growth factor choice is critical for successful functionalization of nanoparticles. Frontiers in neuroscience, 9305. https://doi.org/10.3389/fnins.2015.00305
Pinkernelle, Josephine, et al. "Growth factor choice is critical for successful functionalization of nanoparticles." Frontiers in neuroscience vol. 9 (2015): 305. doi: https://doi.org/10.3389/fnins.2015.00305
Pinkernelle J, Raffa V, Calatayud MP, Goya GF, Riggio C, Keilhoff G. Growth factor choice is critical for successful functionalization of nanoparticles. Front Neurosci. 2015 Sep 02;9:305. doi: 10.3389/fnins.2015.00305. eCollection 2015. PMID: 26388717; PMCID: PMC4557102.
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Corrigendum: Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting.

Frontiers in neuroscience

Werner T, Vianello E, Bichler O, Garbin D, Cattaert D, Yvert B, De Salvo B, Perniola L.
PMID: 28878617
Front Neurosci. 2017 Aug 29;11:486. doi: 10.3389/fnins.2017.00486. eCollection 2017.

[This corrects the article on p. 474 in vol. 10, PMID: 27857680.].

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Werner T, Vianello E, Bichler O, et al. Corrigendum: Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting. Front Neurosci. 2017;11:486doi: 10.3389/fnins.2017.00486.
Werner, T., Vianello, E., Bichler, O., Garbin, D., Cattaert, D., Yvert, B., De Salvo, B., & Perniola, L. (2017). Corrigendum: Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting. Frontiers in neuroscience, 11486. https://doi.org/10.3389/fnins.2017.00486
Werner, Thilo, et al. "Corrigendum: Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting." Frontiers in neuroscience vol. 11 (2017): 486. doi: https://doi.org/10.3389/fnins.2017.00486
Werner T, Vianello E, Bichler O, Garbin D, Cattaert D, Yvert B, De Salvo B, Perniola L. Corrigendum: Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting. Front Neurosci. 2017 Aug 29;11:486. doi: 10.3389/fnins.2017.00486. eCollection 2017. PMID: 28878617; PMCID: PMC5581870.
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Capacitive Feedthroughs for Medical Implants.

Frontiers in neuroscience

Grob S, Tass PA, Hauptmann C.
PMID: 27660602
Front Neurosci. 2016 Sep 08;10:404. doi: 10.3389/fnins.2016.00404. eCollection 2016.

Important technological advances in the last decades paved the road to a great success story for electrically stimulating medical implants, including cochlear implants or implants for deep brain stimulation. However, there are still many challenges in reducing side effects...

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Grob S, Tass PA, Hauptmann C. Capacitive Feedthroughs for Medical Implants. Front Neurosci. 2016;10:404doi: 10.3389/fnins.2016.00404.
Grob, S., Tass, P. A., & Hauptmann, C. (2016). Capacitive Feedthroughs for Medical Implants. Frontiers in neuroscience, 10404. https://doi.org/10.3389/fnins.2016.00404
Grob, Sven, et al. "Capacitive Feedthroughs for Medical Implants." Frontiers in neuroscience vol. 10 (2016): 404. doi: https://doi.org/10.3389/fnins.2016.00404
Grob S, Tass PA, Hauptmann C. Capacitive Feedthroughs for Medical Implants. Front Neurosci. 2016 Sep 08;10:404. doi: 10.3389/fnins.2016.00404. eCollection 2016. PMID: 27660602; PMCID: PMC5014865.
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Speed-Dependent Modulation of the Locomotor Behavior in Adult Mice Reveals Attractor and Transitional Gaits.

Frontiers in neuroscience

Lemieux M, Josset N, Roussel M, Couraud S, Bretzner F.
PMID: 26941592
Front Neurosci. 2016 Feb 23;10:42. doi: 10.3389/fnins.2016.00042. eCollection 2016.

Locomotion results from an interplay between biomechanical constraints of the muscles attached to the skeleton and the neuronal circuits controlling and coordinating muscle activities. Quadrupeds exhibit a wide range of locomotor gaits. Given our advances in the genetic identification...

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Lemieux M, Josset N, Roussel M, et al. Speed-Dependent Modulation of the Locomotor Behavior in Adult Mice Reveals Attractor and Transitional Gaits. Front Neurosci. 2016;10:42doi: 10.3389/fnins.2016.00042.
Lemieux, M., Josset, N., Roussel, M., Couraud, S., & Bretzner, F. (2016). Speed-Dependent Modulation of the Locomotor Behavior in Adult Mice Reveals Attractor and Transitional Gaits. Frontiers in neuroscience, 1042. https://doi.org/10.3389/fnins.2016.00042
Lemieux, Maxime, et al. "Speed-Dependent Modulation of the Locomotor Behavior in Adult Mice Reveals Attractor and Transitional Gaits." Frontiers in neuroscience vol. 10 (2016): 42. doi: https://doi.org/10.3389/fnins.2016.00042
Lemieux M, Josset N, Roussel M, Couraud S, Bretzner F. Speed-Dependent Modulation of the Locomotor Behavior in Adult Mice Reveals Attractor and Transitional Gaits. Front Neurosci. 2016 Feb 23;10:42. doi: 10.3389/fnins.2016.00042. eCollection 2016. PMID: 26941592; PMCID: PMC4763020.
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Showing 1 to 12 of 9127 entries